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Exploiting the separability of linear and nonlinear parameters in radial basis function networks

dc.contributor.authorFerreira, P. M.
dc.contributor.authorRuano, Antonio
dc.date.accessioned2013-01-30T15:27:59Z
dc.date.available2013-01-30T15:27:59Z
dc.date.issued2000
dc.date.updated2013-01-28T09:40:24Z
dc.description.abstractIn intelligent control applications, neural models and controllers are usually designed by performing an off-line training, and then adapting it on-line when placed in the operating environment. It is therefore of crucial importance to obtain a good off-line model by means of a good off-line training algorithm. In this paper a method is presented that fully exploits the linear-nonlinear structure found in Radial Basis Function networks, being additionally applicable to other feed-forward supervised neural networks. The new algorithm is compared with two known hybrid methods.por
dc.identifier.citationFerreira, P. M.; Ruano, A. E. Exploiting the separability of linear and nonlinear parameters in radial basis function networks, Trabalho apresentado em Symposium on Adaptive Systems for Signal Processing Communications and Control, In Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373), Lake Louise, Alta., Canada, 2000.por
dc.identifier.isbn0-7803-5800-7
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2151
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.titleExploiting the separability of linear and nonlinear parameters in radial basis function networkspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLake Louise, Alta., Canadapor
oaire.citation.endPage326por
oaire.citation.startPage321por
oaire.citation.titleIEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373)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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