Neuro-fuzzy inference system with improved performance

Tzafestas, SG; Stamou, GB

dc.contributor.author	Tzafestas, SG	en
dc.contributor.author	Stamou, GB	en
dc.date.accessioned	2014-03-01T02:48:12Z
dc.date.available	2014-03-01T02:48:12Z
dc.date.issued	1993	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33620
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0027168169&partnerID=40&md5=eede6d05181eb408b63560e7d78bf5a1	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Neural networks	en
dc.subject.other	Hamacher's intersection function	en
dc.subject.other	Keller Yager Tahani neuro fuzzy model	en
dc.subject.other	Model free estimators	en
dc.subject.other	Neuro fuzzy inference systems	en
dc.subject.other	Parallelism	en
dc.subject.other	Sugeno's complement function	en
dc.subject.other	Trapezoidal fuzzy sets	en
dc.subject.other	Inference engines	en
dc.title	Neuro-fuzzy inference system with improved performance	en
heal.type	conferenceItem	en
heal.publicationDate	1993	en
heal.abstract	Fuzzy systems and neural systems belong to the class of model free estimators and possess a high degree of parallelism. Due to these features several investigators have tried to produce several models of neuro-fuzzy inference systems with combined properties. The purpose of the present paper is to extend and improve one of these neuro-fuzzy structures such that to obtain better inferences. The system is based on the Keller-Yager-Tahani (K-Y-T) neuro-fuzzy model and uses Hamacher's intersection function iH(a,b) or Sugeno's complement function cλ(a). The operation of the system is briefly described and it's features are established in the form of four theorems. The capabilities of the system are shown by a set of simulation results derived for the case of trapezoidal fuzzy sets. These results are shown to be better than the ones obtained with the original neuro-fuzzy system of Keller, Yager and Tahani.	en
heal.publisher	Publ by Computational Mechanics Publ, Southampton, United Kingdom	en
heal.journalName	Applications of Artificial Intelligence in Engineering	en
dc.identifier.volume	1	en
dc.identifier.spage	353	en
dc.identifier.epage	366	en