Estimating fuzzy membership functions parameters by the levenberg-marquardt algorithm

Detalhes bibliográficos
Autor(a) principal: Botzheim, J.
Data de Publicação: 2008
Outros Autores: Cabrita, Cristiano Lourenço, Kóczy, László T., 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/10400.1/49
Resumo: In previous papers from the authors fuzzy model identification methods were discussed. The bacterial algorithm for extracting fuzzy rule base from a training set was presented. The Levenberg-Marquardt algorithm was also proposed for determining membership functions in fuzzy systems. In this paper the Levenberg-Marquardt technique is improved to optimise the membership functions in the fuzzy rules without Ruspini-partition. The class of membership functions investigated is the trapezoidal one as it is general enough and widely used. The method can be easily extended to arbitrary piecewise linear functions as well.
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spelling Estimating fuzzy membership functions parameters by the levenberg-marquardt algorithmFUZZYControlo automáticoRedes neuronaisAlgoritmo de levenberg-marquard681.5In previous papers from the authors fuzzy model identification methods were discussed. The bacterial algorithm for extracting fuzzy rule base from a training set was presented. The Levenberg-Marquardt algorithm was also proposed for determining membership functions in fuzzy systems. In this paper the Levenberg-Marquardt technique is improved to optimise the membership functions in the fuzzy rules without Ruspini-partition. The class of membership functions investigated is the trapezoidal one as it is general enough and widely used. The method can be easily extended to arbitrary piecewise linear functions as well.BudapestSapientiaBotzheim, J.Cabrita, Cristiano LourençoKóczy, László T.Ruano, Antonio2009-02-13T17:09:15Z20082008-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/pdfhttp://hdl.handle.net/10400.1/49engInternational Joint Conference on Neural Networks and Fuzzy Systems. - Budapest, 25-29 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:RCAAP2023-07-24T10:10:46Zoai:sapientia.ualg.pt:10400.1/49Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:54:29.394525Repositório 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 Estimating fuzzy membership functions parameters by the levenberg-marquardt algorithm
title Estimating fuzzy membership functions parameters by the levenberg-marquardt algorithm
spellingShingle Estimating fuzzy membership functions parameters by the levenberg-marquardt algorithm
Botzheim, J.
FUZZY
Controlo automático
Redes neuronais
Algoritmo de levenberg-marquard
681.5
title_short Estimating fuzzy membership functions parameters by the levenberg-marquardt algorithm
title_full Estimating fuzzy membership functions parameters by the levenberg-marquardt algorithm
title_fullStr Estimating fuzzy membership functions parameters by the levenberg-marquardt algorithm
title_full_unstemmed Estimating fuzzy membership functions parameters by the levenberg-marquardt algorithm
title_sort Estimating fuzzy membership functions parameters by the levenberg-marquardt algorithm
author Botzheim, J.
author_facet Botzheim, J.
Cabrita, Cristiano Lourenço
Kóczy, László T.
Ruano, Antonio
author_role author
author2 Cabrita, Cristiano Lourenço
Kóczy, László T.
Ruano, Antonio
author2_role author
author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Botzheim, J.
Cabrita, Cristiano Lourenço
Kóczy, László T.
Ruano, Antonio
dc.subject.por.fl_str_mv FUZZY
Controlo automático
Redes neuronais
Algoritmo de levenberg-marquard
681.5
topic FUZZY
Controlo automático
Redes neuronais
Algoritmo de levenberg-marquard
681.5
description In previous papers from the authors fuzzy model identification methods were discussed. The bacterial algorithm for extracting fuzzy rule base from a training set was presented. The Levenberg-Marquardt algorithm was also proposed for determining membership functions in fuzzy systems. In this paper the Levenberg-Marquardt technique is improved to optimise the membership functions in the fuzzy rules without Ruspini-partition. The class of membership functions investigated is the trapezoidal one as it is general enough and widely used. The method can be easily extended to arbitrary piecewise linear functions as well.
publishDate 2008
dc.date.none.fl_str_mv 2008
2008-01-01T00:00:00Z
2009-02-13T17:09:15Z
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/10400.1/49
url http://hdl.handle.net/10400.1/49
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Joint Conference on Neural Networks and Fuzzy Systems. - Budapest, 25-29 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 Budapest
publisher.none.fl_str_mv Budapest
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
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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
repository.mail.fl_str_mv
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