A simple algorithm for training fuzzy systems using input-output data

Tsekouras, G; Sarimveis, H; Bafas, G

dc.contributor.author	Tsekouras, G	en
dc.contributor.author	Sarimveis, H	en
dc.contributor.author	Bafas, G	en
dc.date.accessioned	2014-03-01T01:18:33Z
dc.date.available	2014-03-01T01:18:33Z
dc.date.issued	2003	en
dc.identifier.issn	0965-9978	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15087
dc.subject	Fuzzy basis function	en
dc.subject	Nearest neighbor algorithm	en
dc.subject	Training fuzzy systems	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.other	Backpropagation	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	Iterative methods	en
dc.subject.other	Least squares approximations	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Fuzzy models	en
dc.subject.other	Fuzzy sets	en
dc.title	A simple algorithm for training fuzzy systems using input-output data	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0965-9978(03)00034-6	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0965-9978(03)00034-6	en
heal.language	English	en
heal.publicationDate	2003	en
heal.abstract	This paper proposes a simple algorithm for training fuzzy systems from numerical data: The main advantage of the method is the lack of complicated iterative mechanisms and therefore, its implementation is carried out easily. The suggested algorithm employs a fuzzy model with simplified rules, assuming a fuzzy partition of the input space into fuzzy subspaces. The output is inferred by expanding the model into fuzzy basis functions (FBFs), where each FBF corresponds to a certain fuzzy subspace. The number of rules and the respective premise parts (fuzzy subspaces) are determined using the nearest neighbor approach. Then, the optimal consequent parameters are obtained by the least-squares method. Finally, simulations show the validity of the method. (C) 2003 Elsevier Science Ltd. All rights reserved.	en
heal.publisher	ELSEVIER SCI LTD	en
heal.journalName	Advances in Engineering Software	en
dc.identifier.doi	10.1016/S0965-9978(03)00034-6	en
dc.identifier.isi	ISI:000182498400001	en
dc.identifier.volume	34	en
dc.identifier.issue	5	en
dc.identifier.spage	247	en
dc.identifier.epage	259	en