Please use this identifier to cite or link to this item: http://hdl.handle.net/11422/2576
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dc.contributor.authorVianna, Gizelle Kupac-
dc.contributor.authorThomé, Antonio Carlos Gay-
dc.date.accessioned2017-08-03T15:50:59Z-
dc.date.available2017-08-05T03:00:17Z-
dc.date.issued2000-12-31-
dc.identifier.citationVIANNA, G. K.; THOMÉ, A. G. Neuro-fuzzy system for diagnosis of engines, based on oil samples analysis. Rio de Janeiro: NCE, UFRJ, 2000. 06 p. (Relatório Técnico, 12/00).pt_BR
dc.identifier.urihttp://hdl.handle.net/11422/2576-
dc.description.abstractThe present paper describes a neuro-fuzzy. hybrid system applied to the diagnosis of automobile engines, based on the analysis of oil samples. A relevance analysls was done to select the most significant variables among the avallable ones, in order to classify the samples. Such relevance analysls is described in detalls along the paper. Four dlfferent systems were implemented one pure neural system, and three dlfferent neuro-fuzzy systems. A detailed descriptlon of the neural and fuzzy systems is also presented, as well as the performance obtained by each one of them.en
dc.languageengpt_BR
dc.relation.ispartofRelatório Técnico NCEpt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectSistemas de lógica difusapt_BR
dc.subjectRedes neurais (Ciência da computação)pt_BR
dc.subjectNeural Networksen
dc.subjectFuzzy hybrid systemsen
dc.titleNeuro-fuzzy system for diagnosis of engines, based on oil samples analysispt_BR
dc.typeRelatóriopt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentInstituto Tércio Pacitti de Aplicações e Pesquisas Computacionaispt_BR
dc.subject.cnpqCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAOpt_BR
dc.citation.issue1200pt_BR
dc.embargo.termsabertopt_BR
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