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

Please use this identifier to cite or link to this item: http://hdl.handle.net/11422/2576

Type:	Relatório
Title:	Neuro-fuzzy system for diagnosis of engines, based on oil samples analysis
Author(s)/Inventor(s):	Vianna, Gizelle Kupac Thomé, Antonio Carlos Gay
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.
Keywords:	Sistemas de lógica difusa Redes neurais (Ciência da computação) Neural Networks Fuzzy hybrid systems
Subject CNPq:	CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO
Production unit:	Instituto Tércio Pacitti de Aplicações e Pesquisas Computacionais
In:	Relatório Técnico NCE
Issue:	1200
Issue Date:	31-Dec-2000
Publisher country:	Brasil
Language:	eng
Right access:	Acesso Aberto
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).
Appears in Collections:	Relatórios

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