Rule combination in a fuzzy neural network

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DC Field	Value	Language
dc.contributor.author	Chen, YJ	en_US
dc.contributor.author	Teng, CC	en_US
dc.date.accessioned	2014-12-08T15:02:22Z	-
dc.date.available	2014-12-08T15:02:22Z	-
dc.date.issued	1996-09-09	en_US
dc.identifier.issn	0165-0114	en_US
dc.identifier.uri	http://hdl.handle.net/11536/1042	-
dc.description.abstract	In this paper, we present a fuzzy neural network (FNN) to realize the rule reasoning of fuzzy inference systems. The proposed fuzzy neural network can acquire the fuzzy rules by employing the learning capability of neural networks. Moreover, for simplifying the structure of the proposed FNN, the redundant rules and linguistic terms are removed from the FNN by means of a rule combination procedure. A sufficient condition related to rule combination is also given.	en_US
dc.language.iso	en_US	en_US
dc.subject	fuzzy neural network	en_US
dc.subject	fuzzy inference system	en_US
dc.subject	rule combination	en_US
dc.title	Rule combination in a fuzzy neural network	en_US
dc.type	Article; Proceedings Paper	en_US
dc.identifier.journal	FUZZY SETS AND SYSTEMS	en_US
dc.citation.volume	82	en_US
dc.citation.issue	2	en_US
dc.citation.spage	161	en_US
dc.citation.epage	166	en_US
dc.contributor.department	交大名義發表	zh_TW
dc.contributor.department	電控工程研究所	zh_TW
dc.contributor.department	National Chiao Tung University	en_US
dc.contributor.department	Institute of Electrical and Control Engineering	en_US
dc.identifier.wosnumber	WOS:A1996VD40800004	-
Appears in Collections:	Conferences Paper

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