Neuro-fuzzy system for diagnosis of engines, based on oil samples analysis

Vianna, Gizelle Kupac; Thomé, Antonio Carlos Gay

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Campo DC	Valor	Lengua/Idioma
dc.contributor.author	Vianna, Gizelle Kupac	-
dc.contributor.author	Thomé, Antonio Carlos Gay	-
dc.date.accessioned	2017-08-03T15:50:59Z	-
dc.date.available	2023-12-21T03:03:24Z	-
dc.date.issued	2000-12-31	-
dc.identifier.citation	VIANNA, 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.uri	http://hdl.handle.net/11422/2576	-
dc.description.abstract	The 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.language	eng	pt_BR
dc.relation.ispartof	Relatório Técnico NCE	pt_BR
dc.rights	Acesso Aberto	pt_BR
dc.subject	Sistemas de lógica difusa	pt_BR
dc.subject	Redes neurais (Ciência da computação)	pt_BR
dc.subject	Neural Networks	en
dc.subject	Fuzzy hybrid systems	en
dc.title	Neuro-fuzzy system for diagnosis of engines, based on oil samples analysis	pt_BR
dc.type	Relatório	pt_BR
dc.publisher.country	Brasil	pt_BR
dc.publisher.department	Instituto Tércio Pacitti de Aplicações e Pesquisas Computacionais	pt_BR
dc.subject.cnpq	CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO	pt_BR
dc.citation.issue	1200	pt_BR
dc.embargo.terms	aberto	pt_BR
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