Modeling of optoelectronic devices through neuro-fuzzy architectures

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorOrtega, Antonio Vanderlei-
Autor(es): dc.creatorDa Silva, Ivan Nunes-
Data de aceite: dc.date.accessioned2025-08-21T19:49:37Z-
Data de disponibilização: dc.date.available2025-08-21T19:49:37Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2004-01-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/978-3-540-24844-6_184-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/230700-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/230700-
Descrição: dc.descriptionThe 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.-
Descrição: dc.descriptionSão Paulo State University School of Engineering Department of Electrical Engineering, CP 473, CEP 17033.360, Bauru-SP-
Descrição: dc.descriptionSão Paulo State University School of Engineering Department of Electrical Engineering, CP 473, CEP 17033.360, Bauru-SP-
Formato: dc.format1175-1180-
Idioma: dc.languageen-
Relação: dc.relationLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)-
???dc.source???: dc.sourceScopus-
Título: dc.titleModeling of optoelectronic devices through neuro-fuzzy architectures-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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