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B-spline and neuro-fuzzy models design with function and derivative equalities

2004Journal article Open Access
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dc.contributor.authorCabrita, Cristiano Lourenço
dc.contributor.authorRuano, Antonio
dc.date.accessioned2009-02-13T17:09:52Z
dc.date.available2009-02-13T17:09:52Z
dc.date.issued2004
dc.description.abstractThe design of neuro-fuzzy models is still a complex problem, as it involves not only the determination of the model parameters, but also its structure. Of special importance is the incorporation of a priori information in the design process. In this paper two known design algorithms for B-spline models will be updated to account for function and derivatives equality restrictions, which are important when the neural model is used for performing single or multi-objective optimization on-line.pt_PT
dc.formatapplication/pdfpt_PT
dc.identifier.citationWorld Automation Congress (WAC). - Seville, 28 June-1 July 2004. - 6 ppt_PT
dc.identifier.otherAUT: ARU00698; CCA01443;
dc.identifier.urihttp://hdl.handle.net/10400.1/145
dc.language.isoengpt_PT
dc.publisherSevillept_PT
dc.rights.uriopenAccesspt_PT
dc.subjectControlo automáticopt_PT
dc.subjectRedes neuronaispt_PT
dc.subjectSistemas fuzzypt_PT
dc.subjectB-splinespt_PT
dc.subjectProgramação genéticapt_PT
dc.subjectConstructive algorithmspt_PT
dc.subjectNeuro-fuzzy systemspt_PT
dc.subjectGenetic programmingpt_PT
dc.titleB-spline and neuro-fuzzy models design with function and derivative equalitiespt_PT
dc.typejournal article
dspace.entity.typePublication
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.typearticlept_PT
relation.isAuthorOfPublication081b091f-c9fa-470a-9a28-51fe4c85864a
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery081b091f-c9fa-470a-9a28-51fe4c85864a

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