id	sid	tid	token	lemma	pos
work_6wqaopq7qjhppbpy3n7wzspbay	1	1	CCC	CCC	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	2	2018	2018	CD
work_6wqaopq7qjhppbpy3n7wzspbay	1	3	Proceedings	Proceedings	NNPS
work_6wqaopq7qjhppbpy3n7wzspbay	1	4	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	1	5	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	1	6	Creative	Creative	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	7	Construction	Construction	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	8	Conference	Conference	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	9	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	1	10	2018	2018	CD
work_6wqaopq7qjhppbpy3n7wzspbay	1	11	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	1	12	Edited	edit	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	1	13	by	by	IN
work_6wqaopq7qjhppbpy3n7wzspbay	1	14	:	:	:
work_6wqaopq7qjhppbpy3n7wzspbay	1	15	Miroslaw	Miroslaw	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	16	J.	J.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	17	Skibniewski	Skibniewski	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	18	&	&	CC
work_6wqaopq7qjhppbpy3n7wzspbay	1	19	Miklos	Miklos	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	20	Hajdu	Hajdu	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	21	DOI	DOI	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	22	10.3311	10.3311	CD
work_6wqaopq7qjhppbpy3n7wzspbay	1	23	/	/	SYM
work_6wqaopq7qjhppbpy3n7wzspbay	1	24	CCC2018	CCC2018	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	25	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	1	26	007	007	CD
work_6wqaopq7qjhppbpy3n7wzspbay	1	27	Creative	Creative	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	28	Construction	Construction	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	29	Conference	Conference	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	30	2018	2018	CD
work_6wqaopq7qjhppbpy3n7wzspbay	1	31	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	32	CCC	CCC	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	33	2018	2018	CD
work_6wqaopq7qjhppbpy3n7wzspbay	1	34	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	35	30	30	CD
work_6wqaopq7qjhppbpy3n7wzspbay	1	36	June	June	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	37	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	1	38	3	3	CD
work_6wqaopq7qjhppbpy3n7wzspbay	1	39	July	July	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	40	2018	2018	CD
work_6wqaopq7qjhppbpy3n7wzspbay	1	41	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	42	Ljubljana	Ljubljana	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	43	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	44	Slovenia	Slovenia	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	45	Evaluation	Evaluation	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	46	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	1	47	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	1	48	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	1	49	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	1	50	success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	1	51	with	with	IN
work_6wqaopq7qjhppbpy3n7wzspbay	1	52	use	use	NN
work_6wqaopq7qjhppbpy3n7wzspbay	1	53	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	1	54	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	1	55	networks	network	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	1	56	Alexey	Alexey	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	57	Bulgakowa	Bulgakowa	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	58	*	*	NFP
work_6wqaopq7qjhppbpy3n7wzspbay	1	59	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	60	Georgii	Georgii	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	61	Tokmakovb	Tokmakovb	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	62	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	63	Jens	Jens	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	64	Otto	Otto	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	65	c	c	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	66	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	67	Katharina	Katharina	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	68	Langoschd	Langoschd	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	69	aSouthwest	aSouthwest	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	70	State	State	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	71	University	University	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	72	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	73	a.bulgakow@gmx.de	a.bulgakow@gmx.de	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	1	74	bSouth	bSouth	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	75	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	1	76	Russian	Russian	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	77	State	State	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	78	Polytechnic	Polytechnic	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	79	University	University	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	80	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	81	tokmakov.tun@gmail.com	tokmakov.tun@gmail.com	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	82	cTechnical	cTechnical	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	83	University	University	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	84	Dresden	Dresden	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	85	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	86	Germany	Germany	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	87	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	88	jens.otto@tu-dresden.de	jens.otto@tu-dresden.de	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	89	dTechnical	dTechnical	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	90	University	University	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	91	Munich	Munich	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	92	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	93	Germany	Germany	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	94	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	95	katharina.langosch@br2.ar.tum.de	katharina.langosch@br2.ar.tum.de	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	96	Abstract	Abstract	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	97	Construction	Construction	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	1	98	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	1	99	success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	1	100	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	1	101	determined	determine	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	1	102	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	1	103	terms	term	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	1	104	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	1	105	cost	cost	NN
work_6wqaopq7qjhppbpy3n7wzspbay	1	106	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	107	schedule	schedule	NN
work_6wqaopq7qjhppbpy3n7wzspbay	1	108	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	109	performance	performance	NN
work_6wqaopq7qjhppbpy3n7wzspbay	1	110	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	1	111	safety	safety	NN
work_6wqaopq7qjhppbpy3n7wzspbay	1	112	through	through	IN
work_6wqaopq7qjhppbpy3n7wzspbay	1	113	many	many	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	1	114	events	event	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	1	115	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	1	116	resultant	resultant	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	1	117	interactions	interaction	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	1	118	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	119	plans	plan	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	1	120	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	1	121	facilities	facility	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	1	122	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	1	123	changes	change	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	1	124	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	1	125	participants	participant	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	1	126	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	1	127	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	1	128	environment	environment	NN
work_6wqaopq7qjhppbpy3n7wzspbay	1	129	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	2	1	In	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	2	2	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	2	3	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	2	4	industry	industry	NN
work_6wqaopq7qjhppbpy3n7wzspbay	2	5	there	there	EX
work_6wqaopq7qjhppbpy3n7wzspbay	2	6	are	be	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	2	7	myriad	myriad	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	2	8	uncertainties	uncertainty	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	2	9	that	that	WDT
work_6wqaopq7qjhppbpy3n7wzspbay	2	10	make	make	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	2	11	management	management	NN
work_6wqaopq7qjhppbpy3n7wzspbay	2	12	exceedingly	exceedingly	RB
work_6wqaopq7qjhppbpy3n7wzspbay	2	13	complex	complex	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	2	14	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	3	1	Factors	factor	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	3	2	for	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	3	3	success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	3	4	vary	vary	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	3	5	from	from	IN
work_6wqaopq7qjhppbpy3n7wzspbay	3	6	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	3	7	to	to	IN
work_6wqaopq7qjhppbpy3n7wzspbay	3	8	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	3	9	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	4	1	Human	human	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	4	2	experts	expert	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	4	3	can	can	MD
work_6wqaopq7qjhppbpy3n7wzspbay	4	4	often	often	RB
work_6wqaopq7qjhppbpy3n7wzspbay	4	5	achieve	achieve	VB
work_6wqaopq7qjhppbpy3n7wzspbay	4	6	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	4	7	satisfactory	satisfactory	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	4	8	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	4	9	outcome	outcome	NN
work_6wqaopq7qjhppbpy3n7wzspbay	4	10	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	4	11	however	however	RB
work_6wqaopq7qjhppbpy3n7wzspbay	4	12	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	4	13	shortfalls	shortfall	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	4	14	nearly	nearly	RB
work_6wqaopq7qjhppbpy3n7wzspbay	4	15	always	always	RB
work_6wqaopq7qjhppbpy3n7wzspbay	4	16	occur	occur	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	4	17	due	due	IN
work_6wqaopq7qjhppbpy3n7wzspbay	4	18	to	to	IN
work_6wqaopq7qjhppbpy3n7wzspbay	4	19	managers	manager	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	4	20	failing	fail	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	4	21	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	4	22	take	take	VB
work_6wqaopq7qjhppbpy3n7wzspbay	4	23	all	all	DT
work_6wqaopq7qjhppbpy3n7wzspbay	4	24	relevant	relevant	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	4	25	factors	factor	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	4	26	into	into	IN
work_6wqaopq7qjhppbpy3n7wzspbay	4	27	consideration	consideration	NN
work_6wqaopq7qjhppbpy3n7wzspbay	4	28	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	4	29	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	4	30	addition	addition	NN
work_6wqaopq7qjhppbpy3n7wzspbay	4	31	to	to	IN
work_6wqaopq7qjhppbpy3n7wzspbay	4	32	lacking	lack	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	4	33	access	access	NN
work_6wqaopq7qjhppbpy3n7wzspbay	4	34	to	to	IN
work_6wqaopq7qjhppbpy3n7wzspbay	4	35	all	all	DT
work_6wqaopq7qjhppbpy3n7wzspbay	4	36	relevant	relevant	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	4	37	information	information	NN
work_6wqaopq7qjhppbpy3n7wzspbay	4	38	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	5	1	Statistical	statistical	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	5	2	methods	method	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	5	3	represent	represent	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	5	4	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	5	5	basic	basic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	5	6	approach	approach	NN
work_6wqaopq7qjhppbpy3n7wzspbay	5	7	to	to	IN
work_6wqaopq7qjhppbpy3n7wzspbay	5	8	identifying	identify	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	5	9	significant	significant	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	5	10	factors	factor	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	5	11	from	from	IN
work_6wqaopq7qjhppbpy3n7wzspbay	5	12	historical	historical	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	5	13	data	datum	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	5	14	or	or	CC
work_6wqaopq7qjhppbpy3n7wzspbay	5	15	questionnaire	questionnaire	NN
work_6wqaopq7qjhppbpy3n7wzspbay	5	16	results	result	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	5	17	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	6	1	However	however	RB
work_6wqaopq7qjhppbpy3n7wzspbay	6	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	6	3	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	6	4	dynamic	dynamic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	6	5	nature	nature	NN
work_6wqaopq7qjhppbpy3n7wzspbay	6	6	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	6	7	critical	critical	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	6	8	factors	factor	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	6	9	means	mean	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	6	10	that	that	IN
work_6wqaopq7qjhppbpy3n7wzspbay	6	11	changes	change	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	6	12	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	6	13	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	6	14	conditions	condition	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	6	15	must	must	MD
work_6wqaopq7qjhppbpy3n7wzspbay	6	16	be	be	VB
work_6wqaopq7qjhppbpy3n7wzspbay	6	17	monitored	monitor	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	6	18	continuously	continuously	RB
work_6wqaopq7qjhppbpy3n7wzspbay	6	19	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	7	1	Artificial	artificial	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	7	2	intelligence	intelligence	NN
work_6wqaopq7qjhppbpy3n7wzspbay	7	3	techniques	technique	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	7	4	have	have	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	7	5	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	7	6	wide	wide	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	7	7	range	range	NN
work_6wqaopq7qjhppbpy3n7wzspbay	7	8	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	7	9	applications	application	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	7	10	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	7	11	including	include	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	7	12	monitoring	monitoring	NN
work_6wqaopq7qjhppbpy3n7wzspbay	7	13	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	7	14	forecasting	forecasting	NN
work_6wqaopq7qjhppbpy3n7wzspbay	7	15	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	7	16	long	long	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	7	17	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	7	18	term	term	NN
work_6wqaopq7qjhppbpy3n7wzspbay	7	19	projects	project	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	7	20	;	;	:
work_6wqaopq7qjhppbpy3n7wzspbay	7	21	their	-PRON-	PRP$
work_6wqaopq7qjhppbpy3n7wzspbay	7	22	main	main	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	7	23	advantage	advantage	NN
work_6wqaopq7qjhppbpy3n7wzspbay	7	24	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	7	25	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	7	26	ability	ability	NN
work_6wqaopq7qjhppbpy3n7wzspbay	7	27	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	7	28	track	track	VB
work_6wqaopq7qjhppbpy3n7wzspbay	7	29	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	7	30	predict	predict	VB
work_6wqaopq7qjhppbpy3n7wzspbay	7	31	trends	trend	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	7	32	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	7	33	changing	change	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	7	34	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	7	35	implementation	implementation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	7	36	factors	factor	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	7	37	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	8	1	In	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	8	2	this	this	DT
work_6wqaopq7qjhppbpy3n7wzspbay	8	3	article	article	NN
work_6wqaopq7qjhppbpy3n7wzspbay	8	4	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	8	5	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	8	6	authors	author	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	8	7	describe	describe	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	8	8	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	8	9	structure	structure	NN
work_6wqaopq7qjhppbpy3n7wzspbay	8	10	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	8	11	algorithm	algorithm	NN
work_6wqaopq7qjhppbpy3n7wzspbay	8	12	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	8	13	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	8	14	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	8	15	network	network	NN
work_6wqaopq7qjhppbpy3n7wzspbay	8	16	for	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	8	17	assessing	assess	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	8	18	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	8	19	success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	8	20	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	8	21	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	8	22	projects	project	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	8	23	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	8	24	taking	take	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	8	25	into	into	IN
work_6wqaopq7qjhppbpy3n7wzspbay	8	26	account	account	NN
work_6wqaopq7qjhppbpy3n7wzspbay	8	27	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	8	28	individual	individual	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	8	29	influence	influence	NN
work_6wqaopq7qjhppbpy3n7wzspbay	8	30	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	8	31	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	8	32	initial	initial	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	8	33	conditions	condition	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	8	34	as	as	RB
work_6wqaopq7qjhppbpy3n7wzspbay	8	35	well	well	RB
work_6wqaopq7qjhppbpy3n7wzspbay	8	36	as	as	IN
work_6wqaopq7qjhppbpy3n7wzspbay	8	37	their	-PRON-	PRP$
work_6wqaopq7qjhppbpy3n7wzspbay	8	38	combined	combine	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	8	39	impact	impact	NN
work_6wqaopq7qjhppbpy3n7wzspbay	8	40	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	9	1	©	©	LS
work_6wqaopq7qjhppbpy3n7wzspbay	9	2	2018	2018	CD
work_6wqaopq7qjhppbpy3n7wzspbay	9	3	The	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	9	4	Authors	Authors	NNPS
work_6wqaopq7qjhppbpy3n7wzspbay	9	5	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	10	1	Published	publish	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	10	2	by	by	IN
work_6wqaopq7qjhppbpy3n7wzspbay	10	3	Diamond	Diamond	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	10	4	Congress	Congress	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	10	5	Ltd.	Ltd.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	10	6	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	10	7	Budapest	Budapest	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	10	8	University	University	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	10	9	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	10	10	Technology	Technology	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	10	11	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	10	12	Economics	Economics	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	10	13	Peer	Peer	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	10	14	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	10	15	review	review	NN
work_6wqaopq7qjhppbpy3n7wzspbay	10	16	under	under	IN
work_6wqaopq7qjhppbpy3n7wzspbay	10	17	responsibility	responsibility	NN
work_6wqaopq7qjhppbpy3n7wzspbay	10	18	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	10	19	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	10	20	scientific	scientific	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	10	21	committee	committee	NN
work_6wqaopq7qjhppbpy3n7wzspbay	10	22	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	10	23	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	10	24	Creative	Creative	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	10	25	Construction	Construction	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	10	26	Conference	Conference	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	10	27	2018	2018	CD
work_6wqaopq7qjhppbpy3n7wzspbay	10	28	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	11	1	Keywords	keyword	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	11	2	:	:	:
work_6wqaopq7qjhppbpy3n7wzspbay	11	3	Construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	11	4	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	11	5	success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	11	6	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	11	7	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	11	8	network	network	NN
work_6wqaopq7qjhppbpy3n7wzspbay	11	9	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	11	10	artificial	artificial	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	11	11	intelligence	intelligence	NN
work_6wqaopq7qjhppbpy3n7wzspbay	11	12	techniques	technique	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	11	13	;	;	:
work_6wqaopq7qjhppbpy3n7wzspbay	11	14	1	1	CD
work_6wqaopq7qjhppbpy3n7wzspbay	11	15	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	12	1	Introduction	introduction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	12	2	Once	once	RB
work_6wqaopq7qjhppbpy3n7wzspbay	12	3	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	12	4	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	12	5	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	12	6	has	have	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	12	7	been	be	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	12	8	proposed	propose	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	12	9	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	12	10	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	12	11	primary	primary	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	12	12	contract	contract	NN
work_6wqaopq7qjhppbpy3n7wzspbay	12	13	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	12	14	typically	typically	RB
work_6wqaopq7qjhppbpy3n7wzspbay	12	15	subdivided	subdivide	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	12	16	into	into	IN
work_6wqaopq7qjhppbpy3n7wzspbay	12	17	multiple	multiple	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	12	18	subcontracts	subcontract	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	12	19	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	13	1	Large	large	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	13	2	numbers	number	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	13	3	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	13	4	participants	participant	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	13	5	are	be	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	13	6	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	13	7	therefore	therefore	RB
work_6wqaopq7qjhppbpy3n7wzspbay	13	8	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	13	9	involved	involve	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	13	10	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	13	11	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	13	12	planning	planning	NN
work_6wqaopq7qjhppbpy3n7wzspbay	13	13	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	13	14	implementation	implementation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	13	15	phases	phase	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	13	16	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	13	17	see	see	VB
work_6wqaopq7qjhppbpy3n7wzspbay	13	18	Fig	Fig	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	13	19	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	14	1	1	1	LS
work_6wqaopq7qjhppbpy3n7wzspbay	14	2	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	14	3	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	14	4	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	15	1	Expectations	expectation	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	15	2	can	can	MD
work_6wqaopq7qjhppbpy3n7wzspbay	15	3	only	only	RB
work_6wqaopq7qjhppbpy3n7wzspbay	15	4	be	be	VB
work_6wqaopq7qjhppbpy3n7wzspbay	15	5	met	meet	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	15	6	by	by	IN
work_6wqaopq7qjhppbpy3n7wzspbay	15	7	conducting	conduct	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	15	8	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	15	9	comprehensive	comprehensive	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	15	10	analysis	analysis	NN
work_6wqaopq7qjhppbpy3n7wzspbay	15	11	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	15	12	participants	participant	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	15	13	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	15	14	1	1	CD
work_6wqaopq7qjhppbpy3n7wzspbay	15	15	-	-	SYM
work_6wqaopq7qjhppbpy3n7wzspbay	15	16	4	4	CD
work_6wqaopq7qjhppbpy3n7wzspbay	15	17	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	15	18	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	16	1	Project	Project	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	16	2	Fig	Fig	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	16	3	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	17	1	1	1	LS
work_6wqaopq7qjhppbpy3n7wzspbay	17	2	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	18	1	Basic	basic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	18	2	information	information	NN
work_6wqaopq7qjhppbpy3n7wzspbay	18	3	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	18	4	resource	resource	NN
work_6wqaopq7qjhppbpy3n7wzspbay	18	5	flows	flow	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	18	6	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	18	7	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	18	8	production	production	NN
work_6wqaopq7qjhppbpy3n7wzspbay	18	9	46	46	CD
work_6wqaopq7qjhppbpy3n7wzspbay	18	10	http://2018.creative-construction-conference.com/proceedings/	http://2018.creative-construction-conference.com/proceedings/	CD
work_6wqaopq7qjhppbpy3n7wzspbay	18	11	mailto:tokmakov.tun@gmail.com	mailto:tokmakov.tun@gmail.com	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	18	12	mailto:jens.otto@tu-dresden.de	mailto:jens.otto@tu-dresden.de	CD
work_6wqaopq7qjhppbpy3n7wzspbay	18	13	success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	18	14	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	18	15	determined	determine	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	18	16	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	18	17	terms	term	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	18	18	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	18	19	cost	cost	NN
work_6wqaopq7qjhppbpy3n7wzspbay	18	20	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	18	21	schedule	schedule	NN
work_6wqaopq7qjhppbpy3n7wzspbay	18	22	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	18	23	performance	performance	NN
work_6wqaopq7qjhppbpy3n7wzspbay	18	24	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	18	25	safety	safety	NN
work_6wqaopq7qjhppbpy3n7wzspbay	18	26	through	through	IN
work_6wqaopq7qjhppbpy3n7wzspbay	18	27	many	many	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	18	28	events	event	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	18	29	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	18	30	resultant	resultant	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	18	31	interactions	interaction	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	18	32	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	18	33	plans	plan	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	18	34	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	18	35	facilities	facility	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	18	36	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	18	37	changes	change	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	18	38	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	18	39	participants	participant	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	18	40	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	18	41	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	18	42	environment	environment	NN
work_6wqaopq7qjhppbpy3n7wzspbay	18	43	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	19	1	Project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	19	2	managers	manager	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	19	3	able	able	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	19	4	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	19	5	identify	identify	VB
work_6wqaopq7qjhppbpy3n7wzspbay	19	6	key	key	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	19	7	determinants	determinant	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	19	8	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	19	9	project	project	VB
work_6wqaopq7qjhppbpy3n7wzspbay	19	10	success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	19	11	can	can	MD
work_6wqaopq7qjhppbpy3n7wzspbay	19	12	monitor	monitor	VB
work_6wqaopq7qjhppbpy3n7wzspbay	19	13	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	19	14	performance	performance	NN
work_6wqaopq7qjhppbpy3n7wzspbay	19	15	continuously	continuously	RB
work_6wqaopq7qjhppbpy3n7wzspbay	19	16	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	19	17	make	make	VB
work_6wqaopq7qjhppbpy3n7wzspbay	19	18	proper	proper	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	19	19	decisions	decision	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	19	20	based	base	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	19	21	on	on	IN
work_6wqaopq7qjhppbpy3n7wzspbay	19	22	objective	objective	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	19	23	performance	performance	NN
work_6wqaopq7qjhppbpy3n7wzspbay	19	24	predictions	prediction	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	19	25	related	relate	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	19	26	to	to	IN
work_6wqaopq7qjhppbpy3n7wzspbay	19	27	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	19	28	success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	19	29	targets	target	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	19	30	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	20	1	Artificial	artificial	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	20	2	intelligence	intelligence	NN
work_6wqaopq7qjhppbpy3n7wzspbay	20	3	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	20	4	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	20	5	novel	novel	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	20	6	technology	technology	NN
work_6wqaopq7qjhppbpy3n7wzspbay	20	7	for	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	20	8	extracting	extract	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	20	9	knowledge	knowledge	NN
work_6wqaopq7qjhppbpy3n7wzspbay	20	10	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	20	11	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	20	12	already	already	RB
work_6wqaopq7qjhppbpy3n7wzspbay	20	13	widely	widely	RB
work_6wqaopq7qjhppbpy3n7wzspbay	20	14	applied	apply	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	20	15	to	to	IN
work_6wqaopq7qjhppbpy3n7wzspbay	20	16	various	various	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	20	17	civil	civil	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	20	18	engineering	engineering	NN
work_6wqaopq7qjhppbpy3n7wzspbay	20	19	problems	problem	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	20	20	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	20	21	including	include	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	20	22	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	20	23	management	management	NN
work_6wqaopq7qjhppbpy3n7wzspbay	20	24	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	21	1	To	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	21	2	predict	predict	VB
work_6wqaopq7qjhppbpy3n7wzspbay	21	3	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	21	4	performance	performance	NN
work_6wqaopq7qjhppbpy3n7wzspbay	21	5	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	21	6	an	an	DT
work_6wqaopq7qjhppbpy3n7wzspbay	21	7	appreciation	appreciation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	21	8	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	21	9	critical	critical	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	21	10	factors	factor	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	21	11	are	be	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	21	12	crucial	crucial	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	21	13	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	21	14	achieve	achieve	VB
work_6wqaopq7qjhppbpy3n7wzspbay	21	15	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	21	16	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	21	17	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	21	18	objectives	objective	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	21	19	successfully	successfully	RB
work_6wqaopq7qjhppbpy3n7wzspbay	21	20	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	22	1	Statistical	statistical	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	22	2	methods	method	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	22	3	represent	represent	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	22	4	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	22	5	basic	basic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	22	6	approach	approach	NN
work_6wqaopq7qjhppbpy3n7wzspbay	22	7	to	to	IN
work_6wqaopq7qjhppbpy3n7wzspbay	22	8	identifying	identify	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	22	9	significant	significant	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	22	10	factors	factor	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	22	11	from	from	IN
work_6wqaopq7qjhppbpy3n7wzspbay	22	12	historical	historical	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	22	13	data	datum	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	22	14	or	or	CC
work_6wqaopq7qjhppbpy3n7wzspbay	22	15	questionnaire	questionnaire	NN
work_6wqaopq7qjhppbpy3n7wzspbay	22	16	results	result	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	22	17	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	23	1	However	however	RB
work_6wqaopq7qjhppbpy3n7wzspbay	23	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	23	3	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	23	4	dynamic	dynamic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	23	5	nature	nature	NN
work_6wqaopq7qjhppbpy3n7wzspbay	23	6	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	23	7	critical	critical	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	23	8	factors	factor	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	23	9	means	mean	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	23	10	that	that	IN
work_6wqaopq7qjhppbpy3n7wzspbay	23	11	changes	change	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	23	12	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	23	13	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	23	14	conditions	condition	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	23	15	must	must	MD
work_6wqaopq7qjhppbpy3n7wzspbay	23	16	be	be	VB
work_6wqaopq7qjhppbpy3n7wzspbay	23	17	continuously	continuously	RB
work_6wqaopq7qjhppbpy3n7wzspbay	23	18	monitored	monitor	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	23	19	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	24	1	In	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	24	2	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	24	3	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	24	4	industry	industry	NN
work_6wqaopq7qjhppbpy3n7wzspbay	24	5	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	24	6	neuro	neuro	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	24	7	fuzzy	fuzzy	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	24	8	intelligent	intelligent	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	24	9	systems	system	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	24	10	are	be	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	24	11	used	use	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	24	12	not	not	RB
work_6wqaopq7qjhppbpy3n7wzspbay	24	13	only	only	RB
work_6wqaopq7qjhppbpy3n7wzspbay	24	14	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	24	15	predict	predict	VB
work_6wqaopq7qjhppbpy3n7wzspbay	24	16	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	24	17	technical	technical	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	24	18	performance	performance	NN
work_6wqaopq7qjhppbpy3n7wzspbay	24	19	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	24	20	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	24	21	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	24	22	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	24	23	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	24	24	but	but	CC
work_6wqaopq7qjhppbpy3n7wzspbay	24	25	also	also	RB
work_6wqaopq7qjhppbpy3n7wzspbay	24	26	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	24	27	compare	compare	VB
work_6wqaopq7qjhppbpy3n7wzspbay	24	28	them	-PRON-	PRP
work_6wqaopq7qjhppbpy3n7wzspbay	24	29	with	with	IN
work_6wqaopq7qjhppbpy3n7wzspbay	24	30	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	24	31	results	result	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	24	32	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	24	33	statistical	statistical	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	24	34	methods	method	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	24	35	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	24	36	reducing	reduce	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	24	37	variables	variable	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	24	38	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	24	39	5,6	5,6	CD
work_6wqaopq7qjhppbpy3n7wzspbay	24	40	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	24	41	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	25	1	2	2	LS
work_6wqaopq7qjhppbpy3n7wzspbay	25	2	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	26	1	Success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	26	2	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	26	3	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	26	4	industry	industry	NN
work_6wqaopq7qjhppbpy3n7wzspbay	26	5	The	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	26	6	final	final	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	26	7	objective	objective	NN
work_6wqaopq7qjhppbpy3n7wzspbay	26	8	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	26	9	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	26	10	management	management	NN
work_6wqaopq7qjhppbpy3n7wzspbay	26	11	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	26	12	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	26	13	accomplish	accomplish	VB
work_6wqaopq7qjhppbpy3n7wzspbay	26	14	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	26	15	projects	project	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	26	16	‘	'	``
work_6wqaopq7qjhppbpy3n7wzspbay	26	17	successfully	successfully	RB
work_6wqaopq7qjhppbpy3n7wzspbay	26	18	’	'	''
work_6wqaopq7qjhppbpy3n7wzspbay	26	19	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	27	1	From	from	IN
work_6wqaopq7qjhppbpy3n7wzspbay	27	2	an	an	DT
work_6wqaopq7qjhppbpy3n7wzspbay	27	3	owner	owner	NN
work_6wqaopq7qjhppbpy3n7wzspbay	27	4	's	's	POS
work_6wqaopq7qjhppbpy3n7wzspbay	27	5	perspective	perspective	NN
work_6wqaopq7qjhppbpy3n7wzspbay	27	6	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	27	7	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	27	8	definition	definition	NN
work_6wqaopq7qjhppbpy3n7wzspbay	27	9	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	27	10	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	27	11	successful	successful	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	27	12	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	27	13	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	27	14	one	one	CD
work_6wqaopq7qjhppbpy3n7wzspbay	27	15	that	that	WDT
work_6wqaopq7qjhppbpy3n7wzspbay	27	16	meets	meet	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	27	17	or	or	CC
work_6wqaopq7qjhppbpy3n7wzspbay	27	18	surpasses	surpass	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	27	19	budget	budget	NN
work_6wqaopq7qjhppbpy3n7wzspbay	27	20	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	27	21	schedule	schedule	NN
work_6wqaopq7qjhppbpy3n7wzspbay	27	22	expectations	expectation	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	27	23	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	28	1	Consequently	consequently	RB
work_6wqaopq7qjhppbpy3n7wzspbay	28	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	28	3	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	28	4	less	less	JJR
work_6wqaopq7qjhppbpy3n7wzspbay	28	5	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	28	6	than	than	IN
work_6wqaopq7qjhppbpy3n7wzspbay	28	7	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	28	8	successful	successful	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	28	9	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	28	10	fails	fail	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	28	11	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	28	12	achieve	achieve	VB
work_6wqaopq7qjhppbpy3n7wzspbay	28	13	budgetary	budgetary	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	28	14	and/or	and/or	CC
work_6wqaopq7qjhppbpy3n7wzspbay	28	15	schedule	schedule	NN
work_6wqaopq7qjhppbpy3n7wzspbay	28	16	expectations	expectation	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	28	17	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	28	18	7	7	CD
work_6wqaopq7qjhppbpy3n7wzspbay	28	19	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	28	20	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	29	1	Project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	29	2	managers	manager	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	29	3	are	be	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	29	4	responsible	responsible	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	29	5	for	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	29	6	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	29	7	success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	29	8	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	29	9	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	29	10	must	must	MD
work_6wqaopq7qjhppbpy3n7wzspbay	29	11	monitor	monitor	VB
work_6wqaopq7qjhppbpy3n7wzspbay	29	12	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	29	13	performance	performance	NN
work_6wqaopq7qjhppbpy3n7wzspbay	29	14	continuously	continuously	RB
work_6wqaopq7qjhppbpy3n7wzspbay	29	15	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	29	16	order	order	NN
work_6wqaopq7qjhppbpy3n7wzspbay	29	17	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	29	18	take	take	VB
work_6wqaopq7qjhppbpy3n7wzspbay	29	19	proper	proper	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	29	20	corrective	corrective	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	29	21	actions	action	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	29	22	essential	essential	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	29	23	to	to	IN
work_6wqaopq7qjhppbpy3n7wzspbay	29	24	controlling	control	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	29	25	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	29	26	progress	progress	NN
work_6wqaopq7qjhppbpy3n7wzspbay	29	27	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	30	1	Project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	30	2	outcomes	outcome	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	30	3	are	be	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	30	4	affected	affect	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	30	5	by	by	IN
work_6wqaopq7qjhppbpy3n7wzspbay	30	6	different	different	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	30	7	factors	factor	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	30	8	at	at	IN
work_6wqaopq7qjhppbpy3n7wzspbay	30	9	various	various	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	30	10	points	point	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	30	11	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	30	12	time	time	NN
work_6wqaopq7qjhppbpy3n7wzspbay	30	13	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	31	1	During	during	IN
work_6wqaopq7qjhppbpy3n7wzspbay	31	2	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	31	3	course	course	NN
work_6wqaopq7qjhppbpy3n7wzspbay	31	4	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	31	5	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	31	6	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	31	7	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	31	8	predicting	predict	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	31	9	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	31	10	outcomes	outcome	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	31	11	at	at	IN
work_6wqaopq7qjhppbpy3n7wzspbay	31	12	different	different	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	31	13	stages	stage	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	31	14	requires	require	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	31	15	an	an	DT
work_6wqaopq7qjhppbpy3n7wzspbay	31	16	ability	ability	NN
work_6wqaopq7qjhppbpy3n7wzspbay	31	17	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	31	18	analyze	analyze	VB
work_6wqaopq7qjhppbpy3n7wzspbay	31	19	dissimilar	dissimilar	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	31	20	factors	factor	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	31	21	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	31	22	8	8	CD
work_6wqaopq7qjhppbpy3n7wzspbay	31	23	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	31	24	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	32	1	A	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	32	2	dynamic	dynamic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	32	3	prediction	prediction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	32	4	methodology	methodology	NN
work_6wqaopq7qjhppbpy3n7wzspbay	32	5	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	32	6	thus	thus	RB
work_6wqaopq7qjhppbpy3n7wzspbay	32	7	required	require	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	32	8	for	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	32	9	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	32	10	managers	manager	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	32	11	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	32	12	monitor	monitor	VB
work_6wqaopq7qjhppbpy3n7wzspbay	32	13	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	32	14	performance	performance	NN
work_6wqaopq7qjhppbpy3n7wzspbay	32	15	on	on	IN
work_6wqaopq7qjhppbpy3n7wzspbay	32	16	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	32	17	continuous	continuous	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	32	18	basis	basis	NN
work_6wqaopq7qjhppbpy3n7wzspbay	32	19	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	33	1	However	however	RB
work_6wqaopq7qjhppbpy3n7wzspbay	33	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	33	3	each	each	DT
work_6wqaopq7qjhppbpy3n7wzspbay	33	4	time	time	NN
work_6wqaopq7qjhppbpy3n7wzspbay	33	5	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	33	6	numerous	numerous	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	33	7	time	time	NN
work_6wqaopq7qjhppbpy3n7wzspbay	33	8	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	33	9	dependent	dependent	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	33	10	variables	variable	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	33	11	can	can	MD
work_6wqaopq7qjhppbpy3n7wzspbay	33	12	affect	affect	VB
work_6wqaopq7qjhppbpy3n7wzspbay	33	13	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	33	14	outcome	outcome	NN
work_6wqaopq7qjhppbpy3n7wzspbay	33	15	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	34	1	In	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	34	2	addition	addition	NN
work_6wqaopq7qjhppbpy3n7wzspbay	34	3	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	34	4	due	due	IN
work_6wqaopq7qjhppbpy3n7wzspbay	34	5	to	to	IN
work_6wqaopq7qjhppbpy3n7wzspbay	34	6	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	34	7	nature	nature	NN
work_6wqaopq7qjhppbpy3n7wzspbay	34	8	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	34	9	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	34	10	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	34	11	industry	industry	NN
work_6wqaopq7qjhppbpy3n7wzspbay	34	12	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	34	13	such	such	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	34	14	variables	variable	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	34	15	remain	remain	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	34	16	uncertain	uncertain	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	34	17	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	34	18	9	9	CD
work_6wqaopq7qjhppbpy3n7wzspbay	34	19	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	34	20	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	35	1	While	while	IN
work_6wqaopq7qjhppbpy3n7wzspbay	35	2	human	human	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	35	3	experts	expert	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	35	4	can	can	MD
work_6wqaopq7qjhppbpy3n7wzspbay	35	5	predict	predict	VB
work_6wqaopq7qjhppbpy3n7wzspbay	35	6	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	35	7	outcomes	outcome	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	35	8	based	base	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	35	9	on	on	IN
work_6wqaopq7qjhppbpy3n7wzspbay	35	10	their	-PRON-	PRP$
work_6wqaopq7qjhppbpy3n7wzspbay	35	11	personally	personally	RB
work_6wqaopq7qjhppbpy3n7wzspbay	35	12	accumulated	accumulate	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	35	13	experience	experience	NN
work_6wqaopq7qjhppbpy3n7wzspbay	35	14	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	35	15	knowledge	knowledge	NN
work_6wqaopq7qjhppbpy3n7wzspbay	35	16	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	35	17	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	35	18	significance	significance	NN
work_6wqaopq7qjhppbpy3n7wzspbay	35	19	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	35	20	such	such	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	35	21	judgments	judgment	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	35	22	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	35	23	restricted	restrict	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	35	24	by	by	IN
work_6wqaopq7qjhppbpy3n7wzspbay	35	25	their	-PRON-	PRP$
work_6wqaopq7qjhppbpy3n7wzspbay	35	26	subjective	subjective	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	35	27	cognitions	cognition	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	35	28	and/or	and/or	CC
work_6wqaopq7qjhppbpy3n7wzspbay	35	29	knowledge	knowledge	NN
work_6wqaopq7qjhppbpy3n7wzspbay	35	30	limitations	limitation	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	35	31	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	36	1	3	3	LS
work_6wqaopq7qjhppbpy3n7wzspbay	36	2	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	37	1	Neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	37	2	network	network	NN
work_6wqaopq7qjhppbpy3n7wzspbay	37	3	for	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	37	4	evaluation	evaluation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	37	5	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	37	6	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	37	7	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	37	8	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	37	9	success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	37	10	For	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	37	11	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	37	12	proposed	propose	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	37	13	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	37	14	network	network	NN
work_6wqaopq7qjhppbpy3n7wzspbay	37	15	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	37	16	“	"	``
work_6wqaopq7qjhppbpy3n7wzspbay	37	17	hybrid	hybrid	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	37	18	”	"	''
work_6wqaopq7qjhppbpy3n7wzspbay	37	19	refers	refer	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	37	20	to	to	IN
work_6wqaopq7qjhppbpy3n7wzspbay	37	21	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	37	22	combination	combination	NN
work_6wqaopq7qjhppbpy3n7wzspbay	37	23	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	37	24	traditional	traditional	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	37	25	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	37	26	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	37	27	high	high	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	37	28	order	order	NN
work_6wqaopq7qjhppbpy3n7wzspbay	37	29	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	37	30	networks	network	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	37	31	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	38	1	The	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	38	2	high	high	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	38	3	order	order	NN
work_6wqaopq7qjhppbpy3n7wzspbay	38	4	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	38	5	network	network	NN
work_6wqaopq7qjhppbpy3n7wzspbay	38	6	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	38	7	constructed	construct	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	38	8	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	38	9	three	three	CD
work_6wqaopq7qjhppbpy3n7wzspbay	38	10	layers	layer	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	38	11	with	with	IN
work_6wqaopq7qjhppbpy3n7wzspbay	38	12	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	38	13	high	high	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	38	14	order	order	NN
work_6wqaopq7qjhppbpy3n7wzspbay	38	15	connection	connection	NN
work_6wqaopq7qjhppbpy3n7wzspbay	38	16	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	38	17	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	38	18	linear	linear	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	38	19	connection	connection	NN
work_6wqaopq7qjhppbpy3n7wzspbay	38	20	between	between	IN
work_6wqaopq7qjhppbpy3n7wzspbay	38	21	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	38	22	1st	1st	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	38	23	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	38	24	2nd	2nd	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	38	25	layers	layer	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	38	26	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	38	27	2nd	2nd	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	38	28	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	38	29	3rd	3rd	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	38	30	layers	layer	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	38	31	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	38	32	respectively	respectively	RB
work_6wqaopq7qjhppbpy3n7wzspbay	38	33	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	39	1	This	this	DT
work_6wqaopq7qjhppbpy3n7wzspbay	39	2	study	study	NN
work_6wqaopq7qjhppbpy3n7wzspbay	39	3	extends	extend	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	39	4	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	39	5	use	use	NN
work_6wqaopq7qjhppbpy3n7wzspbay	39	6	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	39	7	high	high	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	39	8	order	order	NN
work_6wqaopq7qjhppbpy3n7wzspbay	39	9	connections	connection	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	39	10	for	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	39	11	all	all	DT
work_6wqaopq7qjhppbpy3n7wzspbay	39	12	connection	connection	NN
work_6wqaopq7qjhppbpy3n7wzspbay	39	13	alternatives	alternative	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	39	14	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	39	15	i.e.	i.e.	FW
work_6wqaopq7qjhppbpy3n7wzspbay	39	16	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	39	17	all	all	DT
work_6wqaopq7qjhppbpy3n7wzspbay	39	18	layer	layer	NN
work_6wqaopq7qjhppbpy3n7wzspbay	39	19	connections	connection	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	39	20	can	can	MD
work_6wqaopq7qjhppbpy3n7wzspbay	39	21	switch	switch	VB
work_6wqaopq7qjhppbpy3n7wzspbay	39	22	between	between	IN
work_6wqaopq7qjhppbpy3n7wzspbay	39	23	linear	linear	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	39	24	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	39	25	high	high	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	39	26	order	order	NN
work_6wqaopq7qjhppbpy3n7wzspbay	39	27	formats	format	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	39	28	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	39	29	see	see	VB
work_6wqaopq7qjhppbpy3n7wzspbay	39	30	Fig	Fig	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	39	31	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	40	1	2	2	LS
work_6wqaopq7qjhppbpy3n7wzspbay	40	2	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	40	3	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	41	1	An	an	DT
work_6wqaopq7qjhppbpy3n7wzspbay	41	2	HNN	hnn	NN
work_6wqaopq7qjhppbpy3n7wzspbay	41	3	neuron	neuron	NN
work_6wqaopq7qjhppbpy3n7wzspbay	41	4	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	41	5	dominated	dominate	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	41	6	by	by	IN
work_6wqaopq7qjhppbpy3n7wzspbay	41	7	an	an	DT
work_6wqaopq7qjhppbpy3n7wzspbay	41	8	alternative	alternative	NN
work_6wqaopq7qjhppbpy3n7wzspbay	41	9	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	41	10	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	41	11	following	following	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	41	12	equation	equation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	41	13	:	:	:
work_6wqaopq7qjhppbpy3n7wzspbay	41	14	Linear	linear	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	41	15	connection	connection	NN
work_6wqaopq7qjhppbpy3n7wzspbay	41	16	:	:	:
work_6wqaopq7qjhppbpy3n7wzspbay	41	17	𝑦𝑖	𝑦𝑖	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	41	18	=	=	SYM
work_6wqaopq7qjhppbpy3n7wzspbay	41	19	𝑓(∑𝑤𝑗𝑖𝑥𝑖	𝑓(∑𝑤𝑗𝑖𝑥𝑖	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	41	20	+	+	SYM
work_6wqaopq7qjhppbpy3n7wzspbay	41	21	𝑏𝑗0	𝑏𝑗0	NN
work_6wqaopq7qjhppbpy3n7wzspbay	41	22	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	41	23	;	;	:
work_6wqaopq7qjhppbpy3n7wzspbay	41	24	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	41	25	1	1	LS
work_6wqaopq7qjhppbpy3n7wzspbay	41	26	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	41	27	High	high	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	41	28	order	order	NN
work_6wqaopq7qjhppbpy3n7wzspbay	41	29	connection	connection	NN
work_6wqaopq7qjhppbpy3n7wzspbay	41	30	:	:	:
work_6wqaopq7qjhppbpy3n7wzspbay	41	31	𝑦𝑖	𝑦𝑖	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	41	32	=	=	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	41	33	𝑓(∏	𝑓(∏	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	41	34	𝑥𝑖	𝑥𝑖	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	41	35	𝑝𝑗𝑖	𝑝𝑗𝑖	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	41	36	∗	∗	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	41	37	1𝑏𝑗0	1𝑏𝑗0	CD
work_6wqaopq7qjhppbpy3n7wzspbay	41	38	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	41	39	;	;	:
work_6wqaopq7qjhppbpy3n7wzspbay	41	40	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	41	41	2	2	LS
work_6wqaopq7qjhppbpy3n7wzspbay	41	42	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	41	43	Activation	activation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	41	44	function	function	NN
work_6wqaopq7qjhppbpy3n7wzspbay	41	45	:	:	:
work_6wqaopq7qjhppbpy3n7wzspbay	41	46	𝑓(𝑥	𝑓(𝑥	ADD
work_6wqaopq7qjhppbpy3n7wzspbay	41	47	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	41	48	=	=	NFP
work_6wqaopq7qjhppbpy3n7wzspbay	41	49	1	1	CD
work_6wqaopq7qjhppbpy3n7wzspbay	41	50	1+𝑒−𝑎𝑥	1+𝑒−𝑎𝑥	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	41	51	;	;	:
work_6wqaopq7qjhppbpy3n7wzspbay	41	52	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	41	53	3	3	LS
work_6wqaopq7qjhppbpy3n7wzspbay	41	54	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	41	55	where	where	WRB
work_6wqaopq7qjhppbpy3n7wzspbay	41	56	wij	wij	NN
work_6wqaopq7qjhppbpy3n7wzspbay	41	57	–	–	:
work_6wqaopq7qjhppbpy3n7wzspbay	41	58	coupling	couple	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	41	59	weight	weight	NN
work_6wqaopq7qjhppbpy3n7wzspbay	41	60	coefficients	coefficient	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	41	61	;	;	:
work_6wqaopq7qjhppbpy3n7wzspbay	41	62	yi	yi	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	41	63	–	–	:
work_6wqaopq7qjhppbpy3n7wzspbay	41	64	output	output	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	41	65	neuron	neuron	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	41	66	signal	signal	NN
work_6wqaopq7qjhppbpy3n7wzspbay	41	67	;	;	:
work_6wqaopq7qjhppbpy3n7wzspbay	41	68	xi	xi	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	41	69	–	–	:
work_6wqaopq7qjhppbpy3n7wzspbay	41	70	input	input	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	41	71	neuron	neuron	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	41	72	signal	signal	NN
work_6wqaopq7qjhppbpy3n7wzspbay	41	73	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	42	1	An	an	DT
work_6wqaopq7qjhppbpy3n7wzspbay	42	2	activation	activation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	42	3	function	function	NN
work_6wqaopq7qjhppbpy3n7wzspbay	42	4	𝑓	𝑓	PRP
work_6wqaopq7qjhppbpy3n7wzspbay	42	5	uses	use	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	42	6	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	42	7	sigmoid	sigmoid	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	42	8	function	function	NN
work_6wqaopq7qjhppbpy3n7wzspbay	42	9	with	with	IN
work_6wqaopq7qjhppbpy3n7wzspbay	42	10	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	42	11	slope	slope	NN
work_6wqaopq7qjhppbpy3n7wzspbay	42	12	coefficient	coefficient	NN
work_6wqaopq7qjhppbpy3n7wzspbay	42	13	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	42	14	𝑎.	𝑎.	NN
work_6wqaopq7qjhppbpy3n7wzspbay	43	1	Therefore	therefore	RB
work_6wqaopq7qjhppbpy3n7wzspbay	43	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	43	3	each	each	DT
work_6wqaopq7qjhppbpy3n7wzspbay	43	4	layer	layer	NN
work_6wqaopq7qjhppbpy3n7wzspbay	43	5	connection	connection	NN
work_6wqaopq7qjhppbpy3n7wzspbay	43	6	features	feature	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	43	7	an	an	DT
work_6wqaopq7qjhppbpy3n7wzspbay	43	8	attached	attach	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	43	9	connection	connection	NN
work_6wqaopq7qjhppbpy3n7wzspbay	43	10	type	type	NN
work_6wqaopq7qjhppbpy3n7wzspbay	43	11	that	that	WDT
work_6wqaopq7qjhppbpy3n7wzspbay	43	12	represents	represent	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	43	13	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	43	14	corresponding	correspond	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	43	15	operation	operation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	43	16	selection	selection	NN
work_6wqaopq7qjhppbpy3n7wzspbay	43	17	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	43	18	see	see	VB
work_6wqaopq7qjhppbpy3n7wzspbay	43	19	Fig	Fig	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	43	20	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	44	1	2	2	LS
work_6wqaopq7qjhppbpy3n7wzspbay	44	2	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	44	3	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	45	1	This	this	DT
work_6wqaopq7qjhppbpy3n7wzspbay	45	2	implies	imply	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	45	3	that	that	IN
work_6wqaopq7qjhppbpy3n7wzspbay	45	4	each	each	DT
work_6wqaopq7qjhppbpy3n7wzspbay	45	5	layer	layer	NN
work_6wqaopq7qjhppbpy3n7wzspbay	45	6	depending	depend	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	45	7	on	on	IN
work_6wqaopq7qjhppbpy3n7wzspbay	45	8	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	45	9	operating	operating	NN
work_6wqaopq7qjhppbpy3n7wzspbay	45	10	mode	mode	NN
work_6wqaopq7qjhppbpy3n7wzspbay	45	11	may	may	MD
work_6wqaopq7qjhppbpy3n7wzspbay	45	12	change	change	VB
work_6wqaopq7qjhppbpy3n7wzspbay	45	13	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	45	14	type	type	NN
work_6wqaopq7qjhppbpy3n7wzspbay	45	15	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	45	16	connection	connection	NN
work_6wqaopq7qjhppbpy3n7wzspbay	45	17	between	between	IN
work_6wqaopq7qjhppbpy3n7wzspbay	45	18	neurons	neuron	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	45	19	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	46	1	For	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	46	2	example	example	NN
work_6wqaopq7qjhppbpy3n7wzspbay	46	3	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	46	4	for	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	46	5	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	46	6	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	46	7	network	network	NN
work_6wqaopq7qjhppbpy3n7wzspbay	46	8	consisting	consist	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	46	9	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	46	10	3	3	CD
work_6wqaopq7qjhppbpy3n7wzspbay	46	11	layers	layer	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	46	12	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	46	13	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	46	14	following	following	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	46	15	options	option	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	46	16	are	be	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	46	17	possible	possible	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	46	18	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	46	19	linear	linear	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	46	20	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	46	21	L	l	NN
work_6wqaopq7qjhppbpy3n7wzspbay	46	22	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	46	23	higher	high	JJR
work_6wqaopq7qjhppbpy3n7wzspbay	46	24	order	order	NN
work_6wqaopq7qjhppbpy3n7wzspbay	46	25	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	46	26	HO	ho	NN
work_6wqaopq7qjhppbpy3n7wzspbay	46	27	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	46	28	:	:	:
work_6wqaopq7qjhppbpy3n7wzspbay	46	29	L	l	NN
work_6wqaopq7qjhppbpy3n7wzspbay	46	30	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	46	31	L	l	NN
work_6wqaopq7qjhppbpy3n7wzspbay	46	32	;	;	:
work_6wqaopq7qjhppbpy3n7wzspbay	46	33	L	L	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	46	34	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	46	35	HO	HO	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	46	36	;	;	:
work_6wqaopq7qjhppbpy3n7wzspbay	46	37	HO	HO	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	46	38	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	46	39	L	L	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	46	40	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	46	41	HO	HO	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	46	42	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	46	43	HO	HO	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	46	44	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	47	1	CCC	CCC	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	47	2	2018	2018	CD
work_6wqaopq7qjhppbpy3n7wzspbay	47	3	Proceedings	Proceedings	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	47	4	DOI	DOI	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	47	5	10.3311	10.3311	CD
work_6wqaopq7qjhppbpy3n7wzspbay	47	6	/	/	SYM
work_6wqaopq7qjhppbpy3n7wzspbay	47	7	CCC2018	CCC2018	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	47	8	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	47	9	007	007	CD
work_6wqaopq7qjhppbpy3n7wzspbay	47	10	47	47	CD
work_6wqaopq7qjhppbpy3n7wzspbay	47	11	Fig	fig	NN
work_6wqaopq7qjhppbpy3n7wzspbay	47	12	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	48	1	2	2	LS
work_6wqaopq7qjhppbpy3n7wzspbay	48	2	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	49	1	Hybrid	Hybrid	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	49	2	Neural	Neural	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	49	3	Network	Network	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	49	4	Structure	Structure	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	49	5	Fig	Fig	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	49	6	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	50	1	3	3	LS
work_6wqaopq7qjhppbpy3n7wzspbay	50	2	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	51	1	Optimization	optimization	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	2	genetic	genetic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	51	3	algorithm	algorithm	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	4	Start	start	VB
work_6wqaopq7qjhppbpy3n7wzspbay	51	5	Population	Population	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	51	6	formation	formation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	7	p(t	p(t	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	51	8	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	9	Each	each	DT
work_6wqaopq7qjhppbpy3n7wzspbay	51	10	neuron	neuron	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	11	evolution	evolution	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	12	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	51	13	p(t	p(t	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	51	14	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	15	Satisfy	satisfy	VB
work_6wqaopq7qjhppbpy3n7wzspbay	51	16	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	51	17	conditions	condition	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	51	18	No	no	DT
work_6wqaopq7qjhppbpy3n7wzspbay	51	19	Selection	Selection	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	51	20	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	51	21	p(t	p(t	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	51	22	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	23	with	with	IN
work_6wqaopq7qjhppbpy3n7wzspbay	51	24	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	51	25	creation	creation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	26	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	51	27	p	p	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	28	0	0	CD
work_6wqaopq7qjhppbpy3n7wzspbay	51	29	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	30	t	t	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	31	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	32	Mutation	mutation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	33	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	51	34	p(t	p(t	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	51	35	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	36	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	51	37	p	p	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	38	0	0	CD
work_6wqaopq7qjhppbpy3n7wzspbay	51	39	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	40	t	t	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	51	41	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	42	with	with	IN
work_6wqaopq7qjhppbpy3n7wzspbay	51	43	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	51	44	creation	creation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	45	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	51	46	p	p	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	47	м	м	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	48	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	49	t	t	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	50	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	51	Each	each	DT
work_6wqaopq7qjhppbpy3n7wzspbay	51	52	neuron	neuron	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	53	evolution	evolution	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	54	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	51	55	p	p	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	51	56	0	0	CD
work_6wqaopq7qjhppbpy3n7wzspbay	51	57	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	58	t	t	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	59	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	60	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	51	61	p	p	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	62	м	м	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	63	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	64	t	t	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	65	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	66	Selection	Selection	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	51	67	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	51	68	p(t+1	p(t+1	NNPS
work_6wqaopq7qjhppbpy3n7wzspbay	51	69	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	70	from	from	IN
work_6wqaopq7qjhppbpy3n7wzspbay	51	71	p(t	p(t	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	51	72	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	73	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	51	74	p	p	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	75	0	0	CD
work_6wqaopq7qjhppbpy3n7wzspbay	51	76	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	77	t	t	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	78	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	79	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	51	80	p	p	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	81	м	м	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	82	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	83	t	t	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	84	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	51	85	Stop	stop	VB
work_6wqaopq7qjhppbpy3n7wzspbay	51	86	Yes	Yes	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	51	87	t	t	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	88	=	=	NFP
work_6wqaopq7qjhppbpy3n7wzspbay	51	89	t+1	t+1	NN
work_6wqaopq7qjhppbpy3n7wzspbay	51	90	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	52	1	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	53	1	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	54	1	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	55	1	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	56	1	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	57	1	Fuzzification	fuzzification	NN
work_6wqaopq7qjhppbpy3n7wzspbay	57	2	procedure	procedure	NN
work_6wqaopq7qjhppbpy3n7wzspbay	57	3	Hidden	hide	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	57	4	layers	layer	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	57	5	Defuzzification	Defuzzification	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	57	6	procedure	procedure	NN
work_6wqaopq7qjhppbpy3n7wzspbay	57	7	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	58	1	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	59	1	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	60	1	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	61	1	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	62	1	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	63	1	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	64	1	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	65	1	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	66	1	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	67	1	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	68	1	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	69	1	Output	Output	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	69	2	Input	Input	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	69	3	CCC	CCC	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	69	4	2018	2018	CD
work_6wqaopq7qjhppbpy3n7wzspbay	69	5	Proceedings	Proceedings	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	69	6	DOI	DOI	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	69	7	10.3311	10.3311	CD
work_6wqaopq7qjhppbpy3n7wzspbay	69	8	/	/	SYM
work_6wqaopq7qjhppbpy3n7wzspbay	69	9	CCC2018	CCC2018	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	69	10	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	69	11	007	007	CD
work_6wqaopq7qjhppbpy3n7wzspbay	69	12	48	48	CD
work_6wqaopq7qjhppbpy3n7wzspbay	69	13	4	4	CD
work_6wqaopq7qjhppbpy3n7wzspbay	69	14	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	70	1	Optimization	optimization	NN
work_6wqaopq7qjhppbpy3n7wzspbay	70	2	genetic	genetic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	70	3	algorithm	algorithm	NN
work_6wqaopq7qjhppbpy3n7wzspbay	70	4	Optimization	optimization	NN
work_6wqaopq7qjhppbpy3n7wzspbay	70	5	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	70	6	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	70	7	created	create	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	70	8	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	70	9	network	network	NN
work_6wqaopq7qjhppbpy3n7wzspbay	70	10	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	70	11	possible	possible	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	70	12	with	with	IN
work_6wqaopq7qjhppbpy3n7wzspbay	70	13	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	70	14	help	help	NN
work_6wqaopq7qjhppbpy3n7wzspbay	70	15	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	70	16	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	70	17	genetic	genetic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	70	18	algorithm	algorithm	NN
work_6wqaopq7qjhppbpy3n7wzspbay	70	19	adaptation	adaptation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	70	20	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	70	21	10	10	CD
work_6wqaopq7qjhppbpy3n7wzspbay	70	22	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	70	23	11	11	CD
work_6wqaopq7qjhppbpy3n7wzspbay	70	24	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	70	25	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	70	26	see	see	VB
work_6wqaopq7qjhppbpy3n7wzspbay	70	27	Fig	Fig	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	70	28	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	71	1	3	3	LS
work_6wqaopq7qjhppbpy3n7wzspbay	71	2	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	71	3	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	72	1	Genetic	genetic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	72	2	algorithm	algorithm	NN
work_6wqaopq7qjhppbpy3n7wzspbay	72	3	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	72	4	which	which	WDT
work_6wqaopq7qjhppbpy3n7wzspbay	72	5	imitates	imitate	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	72	6	elements	element	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	72	7	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	72	8	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	72	9	natural	natural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	72	10	evolution	evolution	NN
work_6wqaopq7qjhppbpy3n7wzspbay	72	11	process	process	NN
work_6wqaopq7qjhppbpy3n7wzspbay	72	12	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	72	13	were	be	VBD
work_6wqaopq7qjhppbpy3n7wzspbay	72	14	first	first	RB
work_6wqaopq7qjhppbpy3n7wzspbay	72	15	proposed	propose	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	72	16	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	72	17	Holland	Holland	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	72	18	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	72	19	12	12	CD
work_6wqaopq7qjhppbpy3n7wzspbay	72	20	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	72	21	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	73	1	To	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	73	2	apply	apply	VB
work_6wqaopq7qjhppbpy3n7wzspbay	73	3	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	73	4	genetic	genetic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	73	5	algorithm	algorithm	NN
work_6wqaopq7qjhppbpy3n7wzspbay	73	6	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	73	7	problem	problem	VB
work_6wqaopq7qjhppbpy3n7wzspbay	73	8	optimization	optimization	NN
work_6wqaopq7qjhppbpy3n7wzspbay	73	9	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	73	10	one	one	PRP
work_6wqaopq7qjhppbpy3n7wzspbay	73	11	must	must	MD
work_6wqaopq7qjhppbpy3n7wzspbay	73	12	identify	identify	VB
work_6wqaopq7qjhppbpy3n7wzspbay	73	13	all	all	DT
work_6wqaopq7qjhppbpy3n7wzspbay	73	14	essential	essential	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	73	15	parameters	parameter	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	73	16	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	73	17	determine	determine	VB
work_6wqaopq7qjhppbpy3n7wzspbay	73	18	chromosome	chromosome	NN
work_6wqaopq7qjhppbpy3n7wzspbay	73	19	length	length	NN
work_6wqaopq7qjhppbpy3n7wzspbay	73	20	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	74	1	The	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	74	2	chromosome	chromosome	NN
work_6wqaopq7qjhppbpy3n7wzspbay	74	3	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	74	4	i.e.	i.e.	FW
work_6wqaopq7qjhppbpy3n7wzspbay	74	5	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	74	6	one	one	CD
work_6wqaopq7qjhppbpy3n7wzspbay	74	7	individual	individual	NN
work_6wqaopq7qjhppbpy3n7wzspbay	74	8	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	74	9	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	74	10	this	this	DT
work_6wqaopq7qjhppbpy3n7wzspbay	74	11	study	study	NN
work_6wqaopq7qjhppbpy3n7wzspbay	74	12	represents	represent	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	74	13	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	74	14	network	network	NN
work_6wqaopq7qjhppbpy3n7wzspbay	74	15	parameters	parameter	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	74	16	:	:	:
work_6wqaopq7qjhppbpy3n7wzspbay	74	17	interconnection	interconnection	NN
work_6wqaopq7qjhppbpy3n7wzspbay	74	18	coefficients	coefficient	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	74	19	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	74	20	connection	connection	NN
work_6wqaopq7qjhppbpy3n7wzspbay	74	21	types	type	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	74	22	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	74	23	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	74	24	slope	slope	NN
work_6wqaopq7qjhppbpy3n7wzspbay	74	25	coefficient	coefficient	NN
work_6wqaopq7qjhppbpy3n7wzspbay	74	26	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	74	27	activation	activation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	74	28	function	function	NN
work_6wqaopq7qjhppbpy3n7wzspbay	74	29	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	74	30	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	74	31	network	network	NN
work_6wqaopq7qjhppbpy3n7wzspbay	74	32	topology	topology	NN
work_6wqaopq7qjhppbpy3n7wzspbay	74	33	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	74	34	total	total	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	74	35	layers	layer	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	74	36	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	74	37	layer	layer	NN
work_6wqaopq7qjhppbpy3n7wzspbay	74	38	neurons	neuron	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	74	39	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	74	40	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	75	1	Fuzzy	fuzzy	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	75	2	logic	logic	NN
work_6wqaopq7qjhppbpy3n7wzspbay	75	3	parameters	parameter	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	75	4	include	include	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	75	5	membership	membership	NN
work_6wqaopq7qjhppbpy3n7wzspbay	75	6	function	function	NN
work_6wqaopq7qjhppbpy3n7wzspbay	75	7	summit	summit	NN
work_6wqaopq7qjhppbpy3n7wzspbay	75	8	points	point	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	75	9	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	75	10	membership	membership	NN
work_6wqaopq7qjhppbpy3n7wzspbay	75	11	function	function	NN
work_6wqaopq7qjhppbpy3n7wzspbay	75	12	widths	width	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	75	13	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	75	14	defuzzification	defuzzification	NN
work_6wqaopq7qjhppbpy3n7wzspbay	75	15	weights	weight	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	75	16	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	76	1	Genetic	genetic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	76	2	algorithm	algorithm	NN
work_6wqaopq7qjhppbpy3n7wzspbay	76	3	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	76	4	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	76	5	method	method	NN
work_6wqaopq7qjhppbpy3n7wzspbay	76	6	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	76	7	random	random	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	76	8	search	search	NN
work_6wqaopq7qjhppbpy3n7wzspbay	76	9	with	with	IN
work_6wqaopq7qjhppbpy3n7wzspbay	76	10	elements	element	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	76	11	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	76	12	adaptation	adaptation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	76	13	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	76	14	which	which	WDT
work_6wqaopq7qjhppbpy3n7wzspbay	76	15	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	76	16	based	base	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	76	17	on	on	IN
work_6wqaopq7qjhppbpy3n7wzspbay	76	18	principles	principle	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	76	19	similar	similar	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	76	20	to	to	IN
work_6wqaopq7qjhppbpy3n7wzspbay	76	21	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	76	22	Darwin	Darwin	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	76	23	’s	’s	POS
work_6wqaopq7qjhppbpy3n7wzspbay	76	24	evolution	evolution	NN
work_6wqaopq7qjhppbpy3n7wzspbay	76	25	process	process	NN
work_6wqaopq7qjhppbpy3n7wzspbay	76	26	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	76	27	biological	biological	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	76	28	organisms	organism	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	76	29	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	77	1	In	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	77	2	this	this	DT
work_6wqaopq7qjhppbpy3n7wzspbay	77	3	case	case	NN
work_6wqaopq7qjhppbpy3n7wzspbay	77	4	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	77	5	three	three	CD
work_6wqaopq7qjhppbpy3n7wzspbay	77	6	types	type	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	77	7	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	77	8	operations	operation	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	77	9	are	be	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	77	10	performed	perform	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	77	11	:	:	:
work_6wqaopq7qjhppbpy3n7wzspbay	77	12	crossing	crossing	NN
work_6wqaopq7qjhppbpy3n7wzspbay	77	13	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	77	14	mutation	mutation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	77	15	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	77	16	selection	selection	NN
work_6wqaopq7qjhppbpy3n7wzspbay	77	17	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	78	1	The	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	78	2	fitness	fitness	NN
work_6wqaopq7qjhppbpy3n7wzspbay	78	3	degree	degree	NN
work_6wqaopq7qjhppbpy3n7wzspbay	78	4	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	78	5	how	how	WRB
work_6wqaopq7qjhppbpy3n7wzspbay	78	6	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	78	7	population	population	NN
work_6wqaopq7qjhppbpy3n7wzspbay	78	8	corresponds	correspond	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	78	9	to	to	IN
work_6wqaopq7qjhppbpy3n7wzspbay	78	10	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	78	11	given	give	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	78	12	task	task	NN
work_6wqaopq7qjhppbpy3n7wzspbay	78	13	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	78	14	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	78	15	defined	define	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	78	16	through	through	IN
work_6wqaopq7qjhppbpy3n7wzspbay	78	17	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	78	18	fitness	fitness	NN
work_6wqaopq7qjhppbpy3n7wzspbay	78	19	function	function	NN
work_6wqaopq7qjhppbpy3n7wzspbay	78	20	that	that	WDT
work_6wqaopq7qjhppbpy3n7wzspbay	78	21	can	can	MD
work_6wqaopq7qjhppbpy3n7wzspbay	78	22	also	also	RB
work_6wqaopq7qjhppbpy3n7wzspbay	78	23	include	include	VB
work_6wqaopq7qjhppbpy3n7wzspbay	78	24	penalty	penalty	NN
work_6wqaopq7qjhppbpy3n7wzspbay	78	25	functions	function	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	78	26	for	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	78	27	violation	violation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	78	28	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	78	29	additional	additional	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	78	30	restrictions	restriction	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	78	31	on	on	IN
work_6wqaopq7qjhppbpy3n7wzspbay	78	32	variables	variable	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	78	33	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	79	1	There	there	EX
work_6wqaopq7qjhppbpy3n7wzspbay	79	2	are	be	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	79	3	various	various	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	79	4	forms	form	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	79	5	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	79	6	crossing	cross	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	79	7	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	79	8	13	13	CD
work_6wqaopq7qjhppbpy3n7wzspbay	79	9	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	79	10	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	80	1	They	-PRON-	PRP
work_6wqaopq7qjhppbpy3n7wzspbay	80	2	make	make	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	80	3	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	80	4	selection	selection	NN
work_6wqaopq7qjhppbpy3n7wzspbay	80	5	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	80	6	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	80	7	fittest	fit	JJS
work_6wqaopq7qjhppbpy3n7wzspbay	80	8	specimen	speciman	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	80	9	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	80	10	which	which	WDT
work_6wqaopq7qjhppbpy3n7wzspbay	80	11	constitute	constitute	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	80	12	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	80	13	parental	parental	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	80	14	pair	pair	NN
work_6wqaopq7qjhppbpy3n7wzspbay	80	15	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	80	16	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	80	17	crisscrossing	crisscrossing	NN
work_6wqaopq7qjhppbpy3n7wzspbay	80	18	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	80	19	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	80	20	chromosomal	chromosomal	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	80	21	chains	chain	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	80	22	takes	take	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	80	23	place	place	NN
work_6wqaopq7qjhppbpy3n7wzspbay	80	24	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	80	25	i.e.	i.e.	FW
work_6wqaopq7qjhppbpy3n7wzspbay	81	1	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	81	2	descendant	descendant	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	81	3	line	line	NN
work_6wqaopq7qjhppbpy3n7wzspbay	81	4	code	code	NN
work_6wqaopq7qjhppbpy3n7wzspbay	81	5	inherits	inherits	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	81	6	fragments	fragment	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	81	7	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	81	8	codes	code	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	81	9	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	81	10	parental	parental	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	81	11	chromosomes	chromosome	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	81	12	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	82	1	The	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	82	2	selection	selection	NN
work_6wqaopq7qjhppbpy3n7wzspbay	82	3	operator	operator	NN
work_6wqaopq7qjhppbpy3n7wzspbay	82	4	allows	allow	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	82	5	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	82	6	creation	creation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	82	7	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	82	8	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	82	9	new	new	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	82	10	population	population	NN
work_6wqaopq7qjhppbpy3n7wzspbay	82	11	from	from	IN
work_6wqaopq7qjhppbpy3n7wzspbay	82	12	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	82	13	set	set	NN
work_6wqaopq7qjhppbpy3n7wzspbay	82	14	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	82	15	specimen	speciman	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	82	16	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	82	17	which	which	WDT
work_6wqaopq7qjhppbpy3n7wzspbay	82	18	are	be	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	82	19	generated	generate	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	82	20	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	82	21	modified	modify	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	82	22	descendants	descendant	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	82	23	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	82	24	specimen	speciman	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	82	25	after	after	IN
work_6wqaopq7qjhppbpy3n7wzspbay	82	26	mutation	mutation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	82	27	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	83	1	The	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	83	2	genetic	genetic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	83	3	algorithm	algorithm	NN
work_6wqaopq7qjhppbpy3n7wzspbay	83	4	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	83	5	used	use	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	83	6	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	83	7	adjust	adjust	VB
work_6wqaopq7qjhppbpy3n7wzspbay	83	8	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	83	9	membership	membership	NN
work_6wqaopq7qjhppbpy3n7wzspbay	83	10	functions	function	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	83	11	that	that	WDT
work_6wqaopq7qjhppbpy3n7wzspbay	83	12	are	be	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	83	13	defined	define	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	83	14	within	within	IN
work_6wqaopq7qjhppbpy3n7wzspbay	83	15	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	83	16	accuracy	accuracy	NN
work_6wqaopq7qjhppbpy3n7wzspbay	83	17	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	83	18	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	83	19	few	few	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	83	20	changeable	changeable	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	83	21	parameters	parameter	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	83	22	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	83	23	such	such	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	83	24	as	as	IN
work_6wqaopq7qjhppbpy3n7wzspbay	83	25	triangular	triangular	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	83	26	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	83	27	trapezoidal	trapezoidal	NN
work_6wqaopq7qjhppbpy3n7wzspbay	83	28	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	83	29	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	83	30	radial	radial	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	83	31	functions	function	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	83	32	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	84	1	When	when	WRB
work_6wqaopq7qjhppbpy3n7wzspbay	84	2	simultaneously	simultaneously	RB
work_6wqaopq7qjhppbpy3n7wzspbay	84	3	configuring	configure	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	84	4	several	several	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	84	5	membership	membership	NN
work_6wqaopq7qjhppbpy3n7wzspbay	84	6	functions	function	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	84	7	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	84	8	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	84	9	parameters	parameter	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	84	10	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	84	11	each	each	DT
work_6wqaopq7qjhppbpy3n7wzspbay	84	12	are	be	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	84	13	coded	code	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	84	14	by	by	IN
work_6wqaopq7qjhppbpy3n7wzspbay	84	15	their	-PRON-	PRP$
work_6wqaopq7qjhppbpy3n7wzspbay	84	16	own	own	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	84	17	segment	segment	NN
work_6wqaopq7qjhppbpy3n7wzspbay	84	18	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	84	19	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	84	20	chromosome	chromosome	NN
work_6wqaopq7qjhppbpy3n7wzspbay	84	21	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	84	22	so	so	IN
work_6wqaopq7qjhppbpy3n7wzspbay	84	23	that	that	IN
work_6wqaopq7qjhppbpy3n7wzspbay	84	24	during	during	IN
work_6wqaopq7qjhppbpy3n7wzspbay	84	25	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	84	26	process	process	NN
work_6wqaopq7qjhppbpy3n7wzspbay	84	27	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	84	28	crossing	cross	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	84	29	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	84	30	code	code	NN
work_6wqaopq7qjhppbpy3n7wzspbay	84	31	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	84	32	sharing	sharing	NN
work_6wqaopq7qjhppbpy3n7wzspbay	84	33	occurs	occur	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	84	34	only	only	RB
work_6wqaopq7qjhppbpy3n7wzspbay	84	35	between	between	IN
work_6wqaopq7qjhppbpy3n7wzspbay	84	36	chromosome	chromosome	NN
work_6wqaopq7qjhppbpy3n7wzspbay	84	37	segments	segment	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	84	38	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	84	39	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	84	40	same	same	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	84	41	type	type	NN
work_6wqaopq7qjhppbpy3n7wzspbay	84	42	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	85	1	For	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	85	2	configure	configure	NN
work_6wqaopq7qjhppbpy3n7wzspbay	85	3	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	85	4	rule	rule	NN
work_6wqaopq7qjhppbpy3n7wzspbay	85	5	base	base	NN
work_6wqaopq7qjhppbpy3n7wzspbay	85	6	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	85	7	to	to	IN
work_6wqaopq7qjhppbpy3n7wzspbay	85	8	each	each	DT
work_6wqaopq7qjhppbpy3n7wzspbay	85	9	element	element	NN
work_6wqaopq7qjhppbpy3n7wzspbay	85	10	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	85	11	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	85	12	chromosome	chromosome	NN
work_6wqaopq7qjhppbpy3n7wzspbay	85	13	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	85	14	assigned	assign	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	85	15	an	an	DT
work_6wqaopq7qjhppbpy3n7wzspbay	85	16	element	element	NN
work_6wqaopq7qjhppbpy3n7wzspbay	85	17	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	85	18	this	this	DT
work_6wqaopq7qjhppbpy3n7wzspbay	85	19	rule	rule	NN
work_6wqaopq7qjhppbpy3n7wzspbay	85	20	base	base	NN
work_6wqaopq7qjhppbpy3n7wzspbay	85	21	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	85	22	based	base	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	85	23	on	on	IN
work_6wqaopq7qjhppbpy3n7wzspbay	85	24	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	85	25	received	received	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	85	26	encoding	encoding	NN
work_6wqaopq7qjhppbpy3n7wzspbay	85	27	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	85	28	selected	select	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	85	29	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	85	30	type	type	NN
work_6wqaopq7qjhppbpy3n7wzspbay	85	31	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	85	32	genetic	genetic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	85	33	operator	operator	NN
work_6wqaopq7qjhppbpy3n7wzspbay	85	34	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	86	1	Thus	thus	RB
work_6wqaopq7qjhppbpy3n7wzspbay	86	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	86	3	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	86	4	architecture	architecture	NN
work_6wqaopq7qjhppbpy3n7wzspbay	86	5	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	86	6	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	86	7	systems	system	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	86	8	for	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	86	9	evaluation	evaluation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	86	10	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	86	11	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	86	12	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	86	13	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	86	14	success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	86	15	can	can	MD
work_6wqaopq7qjhppbpy3n7wzspbay	86	16	be	be	VB
work_6wqaopq7qjhppbpy3n7wzspbay	86	17	represented	represent	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	86	18	as	as	IN
work_6wqaopq7qjhppbpy3n7wzspbay	86	19	follows	follow	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	86	20	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	86	21	see	see	VB
work_6wqaopq7qjhppbpy3n7wzspbay	86	22	Fig	Fig	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	86	23	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	87	1	4	4	LS
work_6wqaopq7qjhppbpy3n7wzspbay	87	2	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	87	3	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	88	1	Fig	fig	NN
work_6wqaopq7qjhppbpy3n7wzspbay	88	2	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	89	1	4	4	LS
work_6wqaopq7qjhppbpy3n7wzspbay	89	2	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	90	1	Architecture	architecture	NN
work_6wqaopq7qjhppbpy3n7wzspbay	90	2	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	90	3	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	90	4	systems	system	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	90	5	for	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	90	6	evaluation	evaluation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	90	7	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	90	8	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	90	9	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	90	10	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	90	11	success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	90	12	Conclusions	conclusion	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	90	13	This	this	DT
work_6wqaopq7qjhppbpy3n7wzspbay	90	14	paper	paper	NN
work_6wqaopq7qjhppbpy3n7wzspbay	90	15	described	describe	VBD
work_6wqaopq7qjhppbpy3n7wzspbay	90	16	an	an	DT
work_6wqaopq7qjhppbpy3n7wzspbay	90	17	evolutionary	evolutionary	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	90	18	fuzzy	fuzzy	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	90	19	hybrid	hybrid	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	90	20	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	90	21	network	network	NN
work_6wqaopq7qjhppbpy3n7wzspbay	90	22	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	90	23	enhance	enhance	VB
work_6wqaopq7qjhppbpy3n7wzspbay	90	24	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	90	25	cash	cash	NN
work_6wqaopq7qjhppbpy3n7wzspbay	90	26	flow	flow	NN
work_6wqaopq7qjhppbpy3n7wzspbay	90	27	management	management	NN
work_6wqaopq7qjhppbpy3n7wzspbay	90	28	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	91	1	Neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	91	2	networks	network	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	91	3	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	91	4	high	high	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	91	5	order	order	NN
work_6wqaopq7qjhppbpy3n7wzspbay	91	6	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	91	7	networks	network	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	91	8	are	be	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	91	9	combined	combine	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	91	10	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	91	11	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	91	12	developed	develop	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	91	13	evolutionary	evolutionary	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	91	14	fuzzy	fuzzy	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	15	hybrid	hybrid	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	91	16	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	91	17	network	network	NN
work_6wqaopq7qjhppbpy3n7wzspbay	91	18	to	to	IN
work_6wqaopq7qjhppbpy3n7wzspbay	91	19	Input	Input	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	20	Data	Data	NNPS
work_6wqaopq7qjhppbpy3n7wzspbay	91	21	;	;	,
work_6wqaopq7qjhppbpy3n7wzspbay	91	22	Desired	desire	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	91	23	results	result	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	91	24	Fuzzification	Fuzzification	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	25	Procedure	Procedure	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	26	Fuzzy	Fuzzy	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	27	logic	logic	NN
work_6wqaopq7qjhppbpy3n7wzspbay	91	28	block	block	NN
work_6wqaopq7qjhppbpy3n7wzspbay	91	29	The	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	91	30	hybrid	hybrid	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	91	31	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	91	32	network	network	NN
work_6wqaopq7qjhppbpy3n7wzspbay	91	33	Defuzzification	Defuzzification	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	34	Procedure	Procedure	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	35	Predicted	predict	VBD
work_6wqaopq7qjhppbpy3n7wzspbay	91	36	Results	Results	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	37	Optimization	Optimization	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	38	Procedure	Procedure	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	39	Membership	Membership	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	40	Function	Function	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	41	Neuron	Neuron	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	42	Network	Network	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	43	Parameters	Parameters	NNPS
work_6wqaopq7qjhppbpy3n7wzspbay	91	44	Defuzzification	Defuzzification	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	45	Parameters	Parameters	NNPS
work_6wqaopq7qjhppbpy3n7wzspbay	91	46	Data	Data	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	47	flow	flow	VBP
work_6wqaopq7qjhppbpy3n7wzspbay	91	48	Control	Control	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	49	flows	flow	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	91	50	Functional	functional	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	91	51	objects	object	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	91	52	Databases	Databases	NNPS
work_6wqaopq7qjhppbpy3n7wzspbay	91	53	CCC	CCC	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	54	2018	2018	CD
work_6wqaopq7qjhppbpy3n7wzspbay	91	55	Proceedings	Proceedings	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	56	DOI	DOI	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	57	10.3311	10.3311	CD
work_6wqaopq7qjhppbpy3n7wzspbay	91	58	/	/	SYM
work_6wqaopq7qjhppbpy3n7wzspbay	91	59	CCC2018	CCC2018	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	60	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	91	61	007	007	CD
work_6wqaopq7qjhppbpy3n7wzspbay	91	62	49	49	CD
work_6wqaopq7qjhppbpy3n7wzspbay	91	63	form	form	NN
work_6wqaopq7qjhppbpy3n7wzspbay	91	64	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	91	65	hybrid	hybrid	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	91	66	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	91	67	network	network	NN
work_6wqaopq7qjhppbpy3n7wzspbay	91	68	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	91	69	which	which	WDT
work_6wqaopq7qjhppbpy3n7wzspbay	91	70	acts	act	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	91	71	as	as	IN
work_6wqaopq7qjhppbpy3n7wzspbay	91	72	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	91	73	major	major	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	91	74	inference	inference	NN
work_6wqaopq7qjhppbpy3n7wzspbay	91	75	engine	engine	NN
work_6wqaopq7qjhppbpy3n7wzspbay	91	76	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	91	77	operates	operate	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	91	78	with	with	IN
work_6wqaopq7qjhppbpy3n7wzspbay	91	79	alternating	alternate	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	91	80	linear	linear	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	81	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	91	82	non-	non-	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	83	linear	linear	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	84	neural	neural	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	91	85	networks	network	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	91	86	layer	layer	NN
work_6wqaopq7qjhppbpy3n7wzspbay	91	87	connections	connection	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	91	88	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	92	1	Fuzzy	fuzzy	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	92	2	logic	logic	NN
work_6wqaopq7qjhppbpy3n7wzspbay	92	3	is	be	VBZ
work_6wqaopq7qjhppbpy3n7wzspbay	92	4	employed	employ	VBN
work_6wqaopq7qjhppbpy3n7wzspbay	92	5	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	92	6	sandwich	sandwich	VB
work_6wqaopq7qjhppbpy3n7wzspbay	92	7	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	92	8	hybrid	hybrid	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	92	9	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	92	10	network	network	NN
work_6wqaopq7qjhppbpy3n7wzspbay	92	11	between	between	IN
work_6wqaopq7qjhppbpy3n7wzspbay	92	12	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	92	13	fuzzification	fuzzification	NN
work_6wqaopq7qjhppbpy3n7wzspbay	92	14	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	92	15	defuzzification	defuzzification	NN
work_6wqaopq7qjhppbpy3n7wzspbay	92	16	layer	layer	NN
work_6wqaopq7qjhppbpy3n7wzspbay	92	17	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	93	1	The	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	93	2	authors	author	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	93	3	developed	develop	VBD
work_6wqaopq7qjhppbpy3n7wzspbay	93	4	this	this	DT
work_6wqaopq7qjhppbpy3n7wzspbay	93	5	evolutionary	evolutionary	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	93	6	fuzzy	fuzzy	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	93	7	hybrid	hybrid	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	93	8	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	93	9	network	network	NN
work_6wqaopq7qjhppbpy3n7wzspbay	93	10	to	to	TO
work_6wqaopq7qjhppbpy3n7wzspbay	93	11	assess	assess	VB
work_6wqaopq7qjhppbpy3n7wzspbay	93	12	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	93	13	industry	industry	NN
work_6wqaopq7qjhppbpy3n7wzspbay	93	14	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	93	15	success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	93	16	by	by	IN
work_6wqaopq7qjhppbpy3n7wzspbay	93	17	fusing	fuse	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	93	18	hybrid	hybrid	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	93	19	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	93	20	network	network	NN
work_6wqaopq7qjhppbpy3n7wzspbay	93	21	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	93	22	fuzzy	fuzzy	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	93	23	logic	logic	NN
work_6wqaopq7qjhppbpy3n7wzspbay	93	24	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	93	25	genetic	genetic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	93	26	algorithm	algorithm	NN
work_6wqaopq7qjhppbpy3n7wzspbay	93	27	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	94	1	References	reference	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	94	2	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	94	3	1	1	CD
work_6wqaopq7qjhppbpy3n7wzspbay	94	4	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	94	5	Bulgakov	Bulgakov	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	94	6	A.G.	A.G.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	94	7	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	94	8	Tokmakov	Tokmakov	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	94	9	G.E.	G.E.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	95	1	The	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	95	2	analysis	analysis	NN
work_6wqaopq7qjhppbpy3n7wzspbay	95	3	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	95	4	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	95	5	control	control	NN
work_6wqaopq7qjhppbpy3n7wzspbay	95	6	systems	system	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	95	7	for	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	95	8	building	building	NN
work_6wqaopq7qjhppbpy3n7wzspbay	95	9	site	site	NN
work_6wqaopq7qjhppbpy3n7wzspbay	95	10	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	95	11	problems	problem	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	95	12	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	95	13	possible	possible	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	95	14	solutions	solution	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	95	15	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	96	1	VII	VII	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	96	2	Internationally	internationally	RB
work_6wqaopq7qjhppbpy3n7wzspbay	96	3	scientific	scientific	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	96	4	conferences	conference	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	96	5	:	:	:
work_6wqaopq7qjhppbpy3n7wzspbay	96	6	Realisation	realisation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	96	7	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	96	8	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	96	9	European	european	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	96	10	scientists	scientist	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	96	11	;	;	:
work_6wqaopq7qjhppbpy3n7wzspbay	96	12	17th-25th	17th-25th	NN
work_6wqaopq7qjhppbpy3n7wzspbay	96	13	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	96	14	July	July	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	96	15	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	96	16	2011	2011	CD
work_6wqaopq7qjhppbpy3n7wzspbay	96	17	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	97	1	Sofia	Sofia	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	97	2	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	98	1	S.	S.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	98	2	43	43	CD
work_6wqaopq7qjhppbpy3n7wzspbay	98	3	-	-	SYM
work_6wqaopq7qjhppbpy3n7wzspbay	98	4	44	44	CD
work_6wqaopq7qjhppbpy3n7wzspbay	98	5	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	99	1	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	99	2	2	2	LS
work_6wqaopq7qjhppbpy3n7wzspbay	99	3	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	99	4	Bulgakow	Bulgakow	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	5	A.G.	A.G.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	6	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	99	7	Jehle	Jehle	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	8	P.,Tokmakov	P.,Tokmakov	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	9	G.	G.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	10	SCM	SCM	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	11	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	99	12	logistic	logistic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	99	13	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	99	14	mechatronics	mechatronic	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	99	15	systems	system	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	99	16	for	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	99	17	ensuring	ensure	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	99	18	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	99	19	smooth	smooth	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	99	20	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	99	21	process	process	NN
work_6wqaopq7qjhppbpy3n7wzspbay	99	22	//	//	SYM
work_6wqaopq7qjhppbpy3n7wzspbay	99	23	Innovation	Innovation	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	24	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	99	25	Mechanical	Mechanical	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	26	Engineering	Engineering	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	27	–	–	:
work_6wqaopq7qjhppbpy3n7wzspbay	99	28	Shaping	shape	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	99	29	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	99	30	Future	future	NN
work_6wqaopq7qjhppbpy3n7wzspbay	99	31	:	:	:
work_6wqaopq7qjhppbpy3n7wzspbay	99	32	56-th	56-th	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	33	International	International	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	34	Scientific	Scientific	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	35	Colloquium	Colloquium	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	36	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	99	37	12–16	12–16	CD
work_6wqaopq7qjhppbpy3n7wzspbay	99	38	September	September	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	39	2011	2011	CD
work_6wqaopq7qjhppbpy3n7wzspbay	99	40	:	:	:
work_6wqaopq7qjhppbpy3n7wzspbay	99	41	Conference	Conference	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	42	Proceedings	Proceedings	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	43	/Ilmenau	/Ilmenau	,
work_6wqaopq7qjhppbpy3n7wzspbay	99	44	University	University	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	45	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	99	46	Technology).Ilmenau	Technology).Ilmenau	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	99	47	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	99	48	2011	2011	CD
work_6wqaopq7qjhppbpy3n7wzspbay	99	49	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	100	1	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	100	2	3	3	LS
work_6wqaopq7qjhppbpy3n7wzspbay	100	3	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	100	4	V.	V.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	100	5	Sanvido	Sanvido	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	100	6	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	100	7	F.	F.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	100	8	Grobler	Grobler	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	100	9	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	100	10	K.	K.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	100	11	Parfitt	Parfitt	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	100	12	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	100	13	M.	M.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	100	14	Guvenis	Guvenis	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	100	15	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	100	16	M.	M.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	100	17	Coyle	Coyle	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	100	18	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	100	19	Critical	critical	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	100	20	success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	100	21	factors	factor	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	100	22	for	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	100	23	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	100	24	projects	project	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	100	25	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	100	26	Journal	Journal	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	100	27	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	100	28	Construction	Construction	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	100	29	Engineering	Engineering	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	100	30	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	100	31	Management	Management	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	100	32	118	118	CD
work_6wqaopq7qjhppbpy3n7wzspbay	100	33	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	100	34	1	1	CD
work_6wqaopq7qjhppbpy3n7wzspbay	100	35	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	100	36	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	100	37	1992	1992	CD
work_6wqaopq7qjhppbpy3n7wzspbay	100	38	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	100	39	94–111	94–111	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	100	40	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	101	1	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	101	2	4	4	CD
work_6wqaopq7qjhppbpy3n7wzspbay	101	3	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	101	4	A.F.	A.F.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	102	1	Griffith	Griffith	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	102	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	102	3	G.E.	G.E.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	103	1	Gibson	Gibson	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	103	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	103	3	M.R.	M.R.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	104	1	Hamilton	Hamilton	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	104	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	104	3	A.L.	A.L.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	105	1	Tortora	Tortora	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	105	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	105	3	C.T.	C.T.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	106	1	Wilson	Wilson	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	106	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	106	3	Project	Project	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	106	4	success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	106	5	index	index	NN
work_6wqaopq7qjhppbpy3n7wzspbay	106	6	for	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	106	7	capital	capital	NN
work_6wqaopq7qjhppbpy3n7wzspbay	106	8	facility	facility	NN
work_6wqaopq7qjhppbpy3n7wzspbay	106	9	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	106	10	projects	project	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	106	11	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	106	12	Journal	Journal	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	106	13	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	106	14	Performance	Performance	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	106	15	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	106	16	Constructed	Constructed	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	106	17	Facilities	Facilities	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	106	18	13	13	CD
work_6wqaopq7qjhppbpy3n7wzspbay	106	19	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	106	20	1	1	CD
work_6wqaopq7qjhppbpy3n7wzspbay	106	21	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	106	22	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	106	23	1999	1999	CD
work_6wqaopq7qjhppbpy3n7wzspbay	106	24	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	106	25	39–45	39–45	CD
work_6wqaopq7qjhppbpy3n7wzspbay	106	26	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	107	1	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	107	2	5	5	CD
work_6wqaopq7qjhppbpy3n7wzspbay	107	3	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	107	4	D.K.H.	D.K.H.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	108	1	Chua	Chua	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	108	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	108	3	P.K.	P.K.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	109	1	Loh	Loh	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	109	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	109	3	Y.C.	Y.C.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	110	1	Kog	Kog	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	110	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	110	3	E.J.	E.J.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	111	1	Jaselskis	Jaselskis	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	111	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	111	3	Neural	Neural	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	111	4	networks	network	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	111	5	for	for	IN
work_6wqaopq7qjhppbpy3n7wzspbay	111	6	construction	construction	NN
work_6wqaopq7qjhppbpy3n7wzspbay	111	7	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	111	8	success	success	NN
work_6wqaopq7qjhppbpy3n7wzspbay	111	9	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	111	10	Expert	Expert	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	111	11	Systems	system	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	111	12	with	with	IN
work_6wqaopq7qjhppbpy3n7wzspbay	111	13	Applications	Applications	NNPS
work_6wqaopq7qjhppbpy3n7wzspbay	111	14	13	13	CD
work_6wqaopq7qjhppbpy3n7wzspbay	111	15	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	111	16	4	4	CD
work_6wqaopq7qjhppbpy3n7wzspbay	111	17	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	111	18	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	111	19	1997	1997	CD
work_6wqaopq7qjhppbpy3n7wzspbay	111	20	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	111	21	317–328	317–328	CD
work_6wqaopq7qjhppbpy3n7wzspbay	111	22	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	112	1	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	112	2	6	6	CD
work_6wqaopq7qjhppbpy3n7wzspbay	112	3	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	112	4	M.E.	M.E.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	113	1	Georgy	Georgy	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	113	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	113	3	L.M.	L.M.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	114	1	Chang	Chang	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	114	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	114	3	L.	L.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	114	4	Zhang	Zhang	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	114	5	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	114	6	Prediction	Prediction	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	114	7	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	114	8	engineering	engineering	NN
work_6wqaopq7qjhppbpy3n7wzspbay	114	9	performance	performance	NN
work_6wqaopq7qjhppbpy3n7wzspbay	114	10	:	:	:
work_6wqaopq7qjhppbpy3n7wzspbay	114	11	a	a	DT
work_6wqaopq7qjhppbpy3n7wzspbay	114	12	neurofuzzy	neurofuzzy	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	114	13	approach	approach	NN
work_6wqaopq7qjhppbpy3n7wzspbay	114	14	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	114	15	Journal	Journal	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	114	16	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	114	17	Construction	Construction	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	114	18	Engineering	Engineering	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	114	19	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	114	20	Management	Management	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	114	21	131	131	CD
work_6wqaopq7qjhppbpy3n7wzspbay	114	22	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	114	23	5	5	CD
work_6wqaopq7qjhppbpy3n7wzspbay	114	24	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	114	25	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	114	26	2005	2005	CD
work_6wqaopq7qjhppbpy3n7wzspbay	114	27	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	114	28	548–557	548–557	CD
work_6wqaopq7qjhppbpy3n7wzspbay	114	29	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	115	1	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	115	2	7	7	CD
work_6wqaopq7qjhppbpy3n7wzspbay	115	3	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	115	4	CII	CII	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	115	5	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	115	6	Predictive	predictive	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	115	7	tools	tool	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	115	8	:	:	:
work_6wqaopq7qjhppbpy3n7wzspbay	115	9	closing	close	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	115	10	the	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	115	11	performance	performance	NN
work_6wqaopq7qjhppbpy3n7wzspbay	115	12	gap	gap	NN
work_6wqaopq7qjhppbpy3n7wzspbay	115	13	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	115	14	Research	Research	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	115	15	Summary	Summary	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	115	16	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	115	17	RS107–1	RS107–1	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	115	18	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	115	19	The	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	115	20	Construction	Construction	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	115	21	Industry	Industry	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	115	22	Institute	Institute	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	115	23	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	115	24	Austin	Austin	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	115	25	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	115	26	Tex	Tex	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	115	27	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	115	28	1996	1996	CD
work_6wqaopq7qjhppbpy3n7wzspbay	115	29	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	116	1	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	116	2	8	8	CD
work_6wqaopq7qjhppbpy3n7wzspbay	116	3	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	116	4	J.S.	J.S.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	117	1	Russell	Russell	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	117	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	117	3	E.J.	E.J.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	118	1	Jaselskis	Jaselskis	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	118	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	118	3	P.	P.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	118	4	Samuel	Samuel	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	118	5	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	118	6	S.P.	S.P.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	119	1	Lawrence	Lawrence	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	119	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	119	3	Continuous	continuous	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	119	4	assessment	assessment	NN
work_6wqaopq7qjhppbpy3n7wzspbay	119	5	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	119	6	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	119	7	performance	performance	NN
work_6wqaopq7qjhppbpy3n7wzspbay	119	8	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	119	9	Journal	Journal	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	119	10	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	119	11	Construction	Construction	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	119	12	Engineering	Engineering	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	119	13	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	119	14	Management	Management	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	119	15	123	123	CD
work_6wqaopq7qjhppbpy3n7wzspbay	119	16	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	119	17	1	1	CD
work_6wqaopq7qjhppbpy3n7wzspbay	119	18	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	119	19	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	119	20	1997	1997	CD
work_6wqaopq7qjhppbpy3n7wzspbay	119	21	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	119	22	64–71	64–71	CD
work_6wqaopq7qjhppbpy3n7wzspbay	119	23	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	120	1	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	120	2	9	9	CD
work_6wqaopq7qjhppbpy3n7wzspbay	120	3	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	120	4	J.S.	J.S.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	121	1	Russell	Russell	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	121	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	121	3	E.J.	E.J.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	122	1	Jaselskis	Jaselskis	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	122	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	122	3	P.	P.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	122	4	Samuel	Samuel	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	122	5	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	122	6	S.P.	S.P.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	123	1	Lawrence	Lawrence	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	123	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	123	3	Continuous	continuous	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	123	4	assessment	assessment	NN
work_6wqaopq7qjhppbpy3n7wzspbay	123	5	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	123	6	project	project	NN
work_6wqaopq7qjhppbpy3n7wzspbay	123	7	performance	performance	NN
work_6wqaopq7qjhppbpy3n7wzspbay	123	8	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	123	9	Journal	Journal	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	123	10	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	123	11	Construction	Construction	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	123	12	Engineering	Engineering	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	123	13	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	123	14	Management	Management	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	123	15	123	123	CD
work_6wqaopq7qjhppbpy3n7wzspbay	123	16	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	123	17	1	1	CD
work_6wqaopq7qjhppbpy3n7wzspbay	123	18	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	123	19	(	(	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	123	20	1997	1997	CD
work_6wqaopq7qjhppbpy3n7wzspbay	123	21	)	)	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	123	22	64–71	64–71	CD
work_6wqaopq7qjhppbpy3n7wzspbay	123	23	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	124	1	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	124	2	10	10	CD
work_6wqaopq7qjhppbpy3n7wzspbay	124	3	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	124	4	Kureychik	Kureychik	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	124	5	V.M.	V.M.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	125	1	Genetic	genetic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	125	2	algorithms	algorithm	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	125	3	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	126	1	State	state	NN
work_6wqaopq7qjhppbpy3n7wzspbay	126	2	problems	problem	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	126	3	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	126	4	prospects	prospect	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	126	5	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	126	6	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	126	7	Izvestiya	Izvestiya	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	126	8	RAN	RAN	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	126	9	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	126	10	Theory	theory	NN
work_6wqaopq7qjhppbpy3n7wzspbay	126	11	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	126	12	control	control	NN
work_6wqaopq7qjhppbpy3n7wzspbay	126	13	system	system	NN
work_6wqaopq7qjhppbpy3n7wzspbay	126	14	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	126	15	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	126	16	1999	1999	CD
work_6wqaopq7qjhppbpy3n7wzspbay	126	17	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	127	1	№	№	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	127	2	1	1	CD
work_6wqaopq7qjhppbpy3n7wzspbay	127	3	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	128	1	С.	С.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	129	1	144	144	CD
work_6wqaopq7qjhppbpy3n7wzspbay	129	2	-	-	SYM
work_6wqaopq7qjhppbpy3n7wzspbay	129	3	160	160	CD
work_6wqaopq7qjhppbpy3n7wzspbay	129	4	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	130	1	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	130	2	11	11	CD
work_6wqaopq7qjhppbpy3n7wzspbay	130	3	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	130	4	Rutkovskij	Rutkovskij	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	130	5	L.	L.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	130	6	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	130	7	Pilinskij	Pilinskij	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	130	8	M.	M.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	130	9	Neural	Neural	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	130	10	networks	network	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	130	11	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	130	12	genetic	genetic	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	130	13	algorithms	algorithm	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	130	14	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	130	15	fuzzy	fuzzy	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	130	16	systems	system	NNS
work_6wqaopq7qjhppbpy3n7wzspbay	130	17	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	130	18	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	130	19	Gorzachaza	Gorzachaza	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	130	20	Liniza	Liniza	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	130	21	TELEKOM	TELEKOM	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	130	22	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	130	23	2004	2004	CD
work_6wqaopq7qjhppbpy3n7wzspbay	130	24	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	131	1	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	131	2	12	12	CD
work_6wqaopq7qjhppbpy3n7wzspbay	131	3	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	131	4	J.H.	J.H.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	132	1	Holland	Holland	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	132	2	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	132	3	Adaptation	adaptation	NN
work_6wqaopq7qjhppbpy3n7wzspbay	132	4	in	in	IN
work_6wqaopq7qjhppbpy3n7wzspbay	132	5	Neural	Neural	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	132	6	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	132	7	Artificial	Artificial	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	132	8	Systems	Systems	NNPS
work_6wqaopq7qjhppbpy3n7wzspbay	132	9	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	132	10	The	the	DT
work_6wqaopq7qjhppbpy3n7wzspbay	132	11	University	University	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	132	12	of	of	IN
work_6wqaopq7qjhppbpy3n7wzspbay	132	13	Michigan	Michigan	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	132	14	Press	Press	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	132	15	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	132	16	Ann	Ann	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	132	17	Arbor	Arbor	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	132	18	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	132	19	1995	1995	CD
work_6wqaopq7qjhppbpy3n7wzspbay	132	20	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	133	1	[	[	-LRB-
work_6wqaopq7qjhppbpy3n7wzspbay	133	2	13	13	CD
work_6wqaopq7qjhppbpy3n7wzspbay	133	3	]	]	-RRB-
work_6wqaopq7qjhppbpy3n7wzspbay	133	4	Mecheryakov	Mecheryakov	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	133	5	V.A.	V.A.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	134	1	Recurrent	recurrent	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	134	2	algorithm	algorithm	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	134	3	neural	neural	JJ
work_6wqaopq7qjhppbpy3n7wzspbay	134	4	identification	identification	NN
work_6wqaopq7qjhppbpy3n7wzspbay	134	5	working	work	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	134	6	process	process	NN
work_6wqaopq7qjhppbpy3n7wzspbay	134	7	earthmoving	earthmove	VBG
work_6wqaopq7qjhppbpy3n7wzspbay	134	8	machinery	machinery	NN
work_6wqaopq7qjhppbpy3n7wzspbay	134	9	.	.	.
work_6wqaopq7qjhppbpy3n7wzspbay	135	1	Siberian	Siberian	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	135	2	State	State	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	135	3	Automobile	Automobile	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	135	4	and	and	CC
work_6wqaopq7qjhppbpy3n7wzspbay	135	5	Highway	Highway	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	135	6	Academy	Academy	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	135	7	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	135	8	Omsk	Omsk	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	135	9	,	,	,
work_6wqaopq7qjhppbpy3n7wzspbay	135	10	2007.-	2007.-	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	135	11	S.	S.	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	135	12	63	63	CD
work_6wqaopq7qjhppbpy3n7wzspbay	135	13	-	-	SYM
work_6wqaopq7qjhppbpy3n7wzspbay	135	14	66	66	CD
work_6wqaopq7qjhppbpy3n7wzspbay	135	15	CCC	CCC	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	135	16	2018	2018	CD
work_6wqaopq7qjhppbpy3n7wzspbay	135	17	Proceedings	Proceedings	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	135	18	DOI	DOI	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	135	19	10.3311	10.3311	CD
work_6wqaopq7qjhppbpy3n7wzspbay	135	20	/	/	SYM
work_6wqaopq7qjhppbpy3n7wzspbay	135	21	CCC2018	CCC2018	NNP
work_6wqaopq7qjhppbpy3n7wzspbay	135	22	-	-	HYPH
work_6wqaopq7qjhppbpy3n7wzspbay	135	23	007	007	CD
work_6wqaopq7qjhppbpy3n7wzspbay	135	24	50	50	CD