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Exploiting the functional training approach in Radial Basis Function networks

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dc.contributor.authorCabrita, Cristiano Lourenço
dc.contributor.authorRuano, Antonio
dc.contributor.authorFerreira, P. M.
dc.date.accessioned2013-01-31T11:58:44Z
dc.date.available2013-01-31T11:58:44Z
dc.date.issued2011
dc.date.updated2013-01-26T16:34:51Z
dc.description.abstractThis paper investigates the application of a novel approach for the parameter estimation of a Radial Basis Function (RBF) network model. The new concept (denoted as functional training) minimizes the integral of the analytical error between the process output and the model output [1]. In this paper, the analytical expressions needed to use this approach are introduced, both for the back-propagation and the Levenberg- Marquardt algorithms. The results show that the proposed methodology outperforms the standard methods in terms of function approximation, serving as an excellent tool for RBF networks training.por
dc.identifier.citationCabrita, Cristiano L.; Ruano, Antonio E; Ferreira, Pedro M. Exploiting the functional training approach in Radial Basis Function networks, Trabalho apresentado em 2011 IEEE 7th International Symposium on Intelligent Signal Processing - (WISP 2011), In Proceedings of the 2011 IEEE 7th International Symposium on Intelligent Signal Processing, Floriana, Malta, 2011.por
dc.identifier.doihttp://dx.doi.org/10.1109/WISP.2011.6051694
dc.identifier.isbn978-1-4577-1403-0
dc.identifier.otherAUT: ARU00698; CCA01443;
dc.identifier.urihttp://hdl.handle.net/10400.1/2165
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.subjectRadial Basis Neural networks trainingpor
dc.subjectLocal nonlinear optimizationpor
dc.subjectParameter separabilitypor
dc.subjectFunctional backpropagationpor
dc.titleExploiting the functional training approach in Radial Basis Function networkspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceFloriana, Maltapor
oaire.citation.endPage65por
oaire.citation.startPage60por
oaire.citation.title7th International Symposium on Intelligent Signal Processingpor
person.familyNameCabrita
person.familyNameRuano
person.givenNameCristiano Lourenço
person.givenNameAntonio
person.identifier.ciencia-idFF1E-13A0-A269
person.identifier.orcid0000-0003-4946-0465
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id55958626100
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication081b091f-c9fa-470a-9a28-51fe4c85864a
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery081b091f-c9fa-470a-9a28-51fe4c85864a

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