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

Detalhes bibliográficos
Autor(a) principal: Cabrita, Cristiano Lourenço
Data de Publicação: 2004
Outros Autores: Ruano, Antonio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/145
Resumo: The 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.
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spelling B-spline and neuro-fuzzy models design with function and derivative equalitiesControlo automáticoRedes neuronaisSistemas fuzzyB-splinesProgramação genéticaConstructive algorithmsNeuro-fuzzy systemsGenetic programmingThe 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.SevilleSapientiaCabrita, Cristiano LourençoRuano, Antonio2009-02-13T17:09:52Z20042004-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/pdfhttp://hdl.handle.net/10400.1/145engWorld Automation Congress (WAC). - Seville, 28 June-1 July 2004. - 6 pAUT: ARU00698; CCA01443;info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:10:52Zoai:sapientia.ualg.pt:10400.1/145Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:54:33.771067Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv B-spline and neuro-fuzzy models design with function and derivative equalities
title B-spline and neuro-fuzzy models design with function and derivative equalities
spellingShingle B-spline and neuro-fuzzy models design with function and derivative equalities
Cabrita, Cristiano Lourenço
Controlo automático
Redes neuronais
Sistemas fuzzy
B-splines
Programação genética
Constructive algorithms
Neuro-fuzzy systems
Genetic programming
title_short B-spline and neuro-fuzzy models design with function and derivative equalities
title_full B-spline and neuro-fuzzy models design with function and derivative equalities
title_fullStr B-spline and neuro-fuzzy models design with function and derivative equalities
title_full_unstemmed B-spline and neuro-fuzzy models design with function and derivative equalities
title_sort B-spline and neuro-fuzzy models design with function and derivative equalities
author Cabrita, Cristiano Lourenço
author_facet Cabrita, Cristiano Lourenço
Ruano, Antonio
author_role author
author2 Ruano, Antonio
author2_role author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Cabrita, Cristiano Lourenço
Ruano, Antonio
dc.subject.por.fl_str_mv Controlo automático
Redes neuronais
Sistemas fuzzy
B-splines
Programação genética
Constructive algorithms
Neuro-fuzzy systems
Genetic programming
topic Controlo automático
Redes neuronais
Sistemas fuzzy
B-splines
Programação genética
Constructive algorithms
Neuro-fuzzy systems
Genetic programming
description The 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.
publishDate 2004
dc.date.none.fl_str_mv 2004
2004-01-01T00:00:00Z
2009-02-13T17:09:52Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/145
url http://hdl.handle.net/10400.1/145
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv World Automation Congress (WAC). - Seville, 28 June-1 July 2004. - 6 p
AUT: ARU00698; CCA01443;
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Seville
publisher.none.fl_str_mv Seville
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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