id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_yuerlbpcxfbnphesk7mnzuikrq	Krzysztof Przednowek	A web-oriented expert system for planning hurdles race training programmes	2018	17	.pdf	application/pdf	9091	1321	74	This paper presents a web-oriented expert system, named iHurdling, to predict results and generate training loads for 110 LASSO, elastic net and nonlinear models in the form of a radial basis function neural network and fuzzy rule-based system. It allows the athlete's results to be predicted and can generate training loads for an athlete, Keywords Predictive models � Expert system � Hurdles race � R programming language paper [43] describes the use of linear and nonlinear multivariable models as tools to predict the results of 400 m proposed using an artificial neural network (ANN) to model swimming performance in the 200 m individual medley and the 400 m front The models for result prediction (PR) and for generating training loads (GT) were build using 21 variables is a method of evaluating the generalization ability (prediction for new data, not involved in modelling) of the Fig. 3 Cross-validation errors for nonlinear models (RBF, FUZZY, fc) in result prediction	./cache/work_yuerlbpcxfbnphesk7mnzuikrq.pdf	./txt/work_yuerlbpcxfbnphesk7mnzuikrq.txt