id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_ivgteuwjv5ft3efm7yur3kaso4	Lejla Begic Fazlic	GA-ANFIS Expert System Prototype for Prediction of Dermatological Diseases	2015	5	.pdf	application/pdf	2016	173	52	Lejla BEGIC FAZLIC a,1, Korana AVDAGIC b, and Samir OMANOVIC a Genetic Algorithm (GA) for the second level of fuzzy model optimization within Modelling and validation of the novel GA-ANFIS system approach is performed on ANFIS model, for the detection and recognition of different types of dermatologic research study [1] proposed ANFIS model by combining neural network adaptive Authors in research study [9] suggested hybrid GA-ANFIS model in which GA A novel GA-ANFIS expert system prototype for prediction of dermatological diseases Modeling and validation of the novel GA-ANFIS system approach is Our Sugeno model has three inputs (skin features) and one output (type of diseases), as kinds of ANFIS parameter structure and then optimize fuzzy sets in knowledge rule base resulting in the best prediction of dermatological diseases. than the previous classical approach that is based on single ANFIS model [7]. [2] J.-S.R. Jang, ANFIS: Adaptive-network-based fuzzy inference system, IEEE Trans.	./cache/work_ivgteuwjv5ft3efm7yur3kaso4.pdf	./txt/work_ivgteuwjv5ft3efm7yur3kaso4.txt