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Supervised training algorithms for B-spline neural networks and fuzzy systems

2001Conference object Restricted access
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dc.contributor.authorRuano, Antonio
dc.contributor.authorCabrita, Cristiano Lourenço
dc.contributor.authorOliveira, J. V.
dc.contributor.authorTikk, D.
dc.contributor.authorKóczy, László T.
dc.date.accessioned2013-02-04T15:03:24Z
dc.date.available2013-02-04T15:03:24Z
dc.date.issued2001
dc.date.updated2013-01-28T09:22:31Z
dc.description.abstractComplete supervised training algorithms for B-spline neural networks and fuzzy rule-based systems are discussed. By introducing the relationships between B-spline neural networks and Mamdani (satisfying certain assumptions) fuzzy model, training algorithms developed initially for neural networks can be adapted to fuzzy systems. The standard training criterion is reformulated, by separating the linear and nonlinear parameters. By employing this reformulated criterion with the Levenberg-Marquardt algorithm, a new training method, offering a fast rate of convergence is obtained. It is also shown that the standard Error-Back Propagation algorithm, the most common training method for this class of systems, exhibits a very poor performance.por
dc.identifier.citationRuano, A. E.; Cabrita, C.; Oliveira, J. V.; Tikk, D.; Koczy, L. T. Supervised training algorithms for B-spline neural networks and fuzzy systems, Trabalho apresentado em Joint 9th IFSA World Congress and 20th NAFIPS International Conference, In Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), Vancouver, BC, Canada, 2001.por
dc.identifier.isbn0-7803-7078-3
dc.identifier.otherAUT: ARU00698; JVO01594;
dc.identifier.urihttp://hdl.handle.net/10400.1/2210
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.subjectTraining algorithmspor
dc.subjectNeural networkspor
dc.subjectB-splinespor
dc.subjectFuzzy systemspor
dc.subjectLlinear and nonlinear separabilitypor
dc.titleSupervised training algorithms for B-spline neural networks and fuzzy systemspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceVancouver, BC, Canadapor
oaire.citation.endPage2835por
oaire.citation.startPage2830por
oaire.citation.titleJoint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569)por
person.familyNameRuano
person.familyNameCabrita
person.givenNameAntonio
person.givenNameCristiano Lourenço
person.identifier.ciencia-idFF1E-13A0-A269
person.identifier.orcid0000-0002-6308-8666
person.identifier.orcid0000-0003-4946-0465
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
person.identifier.scopus-author-id55958626100
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication081b091f-c9fa-470a-9a28-51fe4c85864a
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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