Modeling of optoelectronic devices through neuro-fuzzy architectures

Detalhes bibliográficos
Autor(a) principal: Ortega, Antonio Vanderlei [UNESP]
Data de Publicação: 2004
Outros Autores: Da Silva, Ivan Nunes [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/978-3-540-24844-6_184
http://hdl.handle.net/11449/230700
Resumo: The advantages offered by the electronic component LED (Light Emitting Diode) have caused a quick and wide application of this device in replacement of incandescent lights. However, in its combined application, the relationship between the design variables and the desired effect or result is very complex and it becomes difficult to model by conventional techniques. This work consists of the development of a technique, through comparative analysis of neuro-fuzzy architectures, to make possible to obtain the luminous intensity values of brake lights using LEDs from design data.
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spelling Modeling of optoelectronic devices through neuro-fuzzy architecturesThe advantages offered by the electronic component LED (Light Emitting Diode) have caused a quick and wide application of this device in replacement of incandescent lights. However, in its combined application, the relationship between the design variables and the desired effect or result is very complex and it becomes difficult to model by conventional techniques. This work consists of the development of a technique, through comparative analysis of neuro-fuzzy architectures, to make possible to obtain the luminous intensity values of brake lights using LEDs from design data.São Paulo State University School of Engineering Department of Electrical Engineering, CP 473, CEP 17033.360, Bauru-SPSão Paulo State University School of Engineering Department of Electrical Engineering, CP 473, CEP 17033.360, Bauru-SPUniversidade Estadual Paulista (UNESP)Ortega, Antonio Vanderlei [UNESP]Da Silva, Ivan Nunes [UNESP]2022-04-29T08:41:34Z2022-04-29T08:41:34Z2004-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1175-1180http://dx.doi.org/10.1007/978-3-540-24844-6_184Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), v. 3070, p. 1175-1180.0302-9743http://hdl.handle.net/11449/23070010.1007/978-3-540-24844-6_1842-s2.0-9444255219Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)info:eu-repo/semantics/openAccess2024-06-28T13:34:36Zoai:repositorio.unesp.br:11449/230700Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:32:24.609450Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Modeling of optoelectronic devices through neuro-fuzzy architectures
title Modeling of optoelectronic devices through neuro-fuzzy architectures
spellingShingle Modeling of optoelectronic devices through neuro-fuzzy architectures
Ortega, Antonio Vanderlei [UNESP]
title_short Modeling of optoelectronic devices through neuro-fuzzy architectures
title_full Modeling of optoelectronic devices through neuro-fuzzy architectures
title_fullStr Modeling of optoelectronic devices through neuro-fuzzy architectures
title_full_unstemmed Modeling of optoelectronic devices through neuro-fuzzy architectures
title_sort Modeling of optoelectronic devices through neuro-fuzzy architectures
author Ortega, Antonio Vanderlei [UNESP]
author_facet Ortega, Antonio Vanderlei [UNESP]
Da Silva, Ivan Nunes [UNESP]
author_role author
author2 Da Silva, Ivan Nunes [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Ortega, Antonio Vanderlei [UNESP]
Da Silva, Ivan Nunes [UNESP]
description The advantages offered by the electronic component LED (Light Emitting Diode) have caused a quick and wide application of this device in replacement of incandescent lights. However, in its combined application, the relationship between the design variables and the desired effect or result is very complex and it becomes difficult to model by conventional techniques. This work consists of the development of a technique, through comparative analysis of neuro-fuzzy architectures, to make possible to obtain the luminous intensity values of brake lights using LEDs from design data.
publishDate 2004
dc.date.none.fl_str_mv 2004-01-01
2022-04-29T08:41:34Z
2022-04-29T08:41:34Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/978-3-540-24844-6_184
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), v. 3070, p. 1175-1180.
0302-9743
http://hdl.handle.net/11449/230700
10.1007/978-3-540-24844-6_184
2-s2.0-9444255219
url http://dx.doi.org/10.1007/978-3-540-24844-6_184
http://hdl.handle.net/11449/230700
identifier_str_mv Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), v. 3070, p. 1175-1180.
0302-9743
10.1007/978-3-540-24844-6_184
2-s2.0-9444255219
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1175-1180
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808129082516307968

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