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Extension of the Levenberg-Marquardt algorithm for the extraction of trapezoidal and general piecewise linear fuzzy rules

dc.contributor.authorBotzheim, J.
dc.contributor.authorKóczy, László T.
dc.contributor.authorRuano, Antonio
dc.date.accessioned2013-02-11T12:16:35Z
dc.date.available2013-02-11T12:16:35Z
dc.date.issued2002
dc.date.updated2013-01-27T23:28:34Z
dc.description.abstractThis paper discusses how training algorithms for determining membership functions in fuzzy rule based systems can be applied. There are several training algorithms, wbicb have been developed initially for neural networks mnd can be adapted to fumy systems. In this paper the Levenberg-Marquardt algorithm is introduced, allowing the determination of an optimal rukbase and converging faster tban some more classic methods (e.g. the standard Back Propagation algorithm). The class of membership funetions investigated is the trapezoidal one as it is general enough and widely used. The method can be easily extended to arbitrary piecewise linear function as well.por
dc.identifier.citationBotzheim, J.; Koczy, L. T.; Ruano, A. E. Extension of the Levenberg-Marquardt algorithm for the extraction of trapezoidal and general piecewise linear fuzzy rules, Trabalho apresentado em 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02, In 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291), Honolulu, HI, USA, 2002.por
dc.identifier.isbn0-7803-7280-8
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2300
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.titleExtension of the Levenberg-Marquardt algorithm for the extraction of trapezoidal and general piecewise linear fuzzy rulespor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceHonolulu, HI, USApor
oaire.citation.endPage819por
oaire.citation.startPage815por
oaire.citation.titleInternational Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291)por
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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