Design of B-spline neural networks using a bacterial programming approach

Detalhes bibliográficos
Autor(a) principal: Cabrita, Cristiano Lourenço
Data de Publicação: 2004
Outros Autores: Botzheim, J., Ruano, Antonio, Kóczy, László T.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/155
Resumo: The design phase of B-spline neural networks represents a very high computational task. For this purpose, heuristics have been developed, but have been shown to be dependent on the initial conditions employed. In this paper a new technique, Bacterial Programming, is proposed, whose principles are based on the replication of the microbial evolution phenomenon. The performance of this approach is illustrated and compared with existing alternatives.
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spelling Design of B-spline neural networks using a bacterial programming approachControlo automáticoRedes neuronaisB-splinesProgramação bacteriana681.5The design phase of B-spline neural networks represents a very high computational task. For this purpose, heuristics have been developed, but have been shown to be dependent on the initial conditions employed. In this paper a new technique, Bacterial Programming, is proposed, whose principles are based on the replication of the microbial evolution phenomenon. The performance of this approach is illustrated and compared with existing alternatives.BudapestSapientiaCabrita, Cristiano LourençoBotzheim, J.Ruano, AntonioKóczy, László T.2009-02-13T17:09:55Z20042004-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/pdfhttp://hdl.handle.net/10400.1/155engInternational Joint Conference on Neural Networks and Fuzzy Systems. - Budapest, 25-29 July 2004. - 6 pAUT: ARU00698; CCA01443;http://dx.doi.org/10.1109/IJCNN.2004.1380987info: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:RCAAP2023-07-24T10:10:53Zoai:sapientia.ualg.pt:10400.1/155Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:54:34.185507Repositório 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 Design of B-spline neural networks using a bacterial programming approach
title Design of B-spline neural networks using a bacterial programming approach
spellingShingle Design of B-spline neural networks using a bacterial programming approach
Cabrita, Cristiano Lourenço
Controlo automático
Redes neuronais
B-splines
Programação bacteriana
681.5
title_short Design of B-spline neural networks using a bacterial programming approach
title_full Design of B-spline neural networks using a bacterial programming approach
title_fullStr Design of B-spline neural networks using a bacterial programming approach
title_full_unstemmed Design of B-spline neural networks using a bacterial programming approach
title_sort Design of B-spline neural networks using a bacterial programming approach
author Cabrita, Cristiano Lourenço
author_facet Cabrita, Cristiano Lourenço
Botzheim, J.
Ruano, Antonio
Kóczy, László T.
author_role author
author2 Botzheim, J.
Ruano, Antonio
Kóczy, László T.
author2_role author
author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Cabrita, Cristiano Lourenço
Botzheim, J.
Ruano, Antonio
Kóczy, László T.
dc.subject.por.fl_str_mv Controlo automático
Redes neuronais
B-splines
Programação bacteriana
681.5
topic Controlo automático
Redes neuronais
B-splines
Programação bacteriana
681.5
description The design phase of B-spline neural networks represents a very high computational task. For this purpose, heuristics have been developed, but have been shown to be dependent on the initial conditions employed. In this paper a new technique, Bacterial Programming, is proposed, whose principles are based on the replication of the microbial evolution phenomenon. The performance of this approach is illustrated and compared with existing alternatives.
publishDate 2004
dc.date.none.fl_str_mv 2004
2004-01-01T00:00:00Z
2009-02-13T17:09:55Z
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/10400.1/155
url http://hdl.handle.net/10400.1/155
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;
http://dx.doi.org/10.1109/IJCNN.2004.1380987
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
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