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- W2414443558 abstract "With the fast development of automobile technology, automobile structure became more complex. The security issues about automobiles became more prominent. Fault diagnosis of automobile is the key problem to that issue. The introduction of this system in the diagnosis of artificial intelligence, fuzzy logic and neural network organically integrated, together with their respective advantages to get a more effective vehicle fault diagnosis method, called fuzzy neural network. In this paper, the both advantages and weak points of fuzzy logic and neural network are analyzed and a fault diagnosis method based on fuzzy neural network is presented, which combines fuzzy logic with neural network to form an fuzzy neural inference system. The results show obvious superiority of dong-feng some diesel engine fault diagnosis based on fuzzy neural network in fault diagnosis. It provides a feasible idea in automobile intelligent fault diagnosis." @default.
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- W2414443558 date "2012-04-06" @default.
- W2414443558 modified "2023-09-24" @default.
- W2414443558 title "Automobile Fault Diagnosis Based on Fuzzy Neural Network" @default.
- W2414443558 doi "https://doi.org/10.1109/iceice.2012.937" @default.
- W2414443558 hasPublicationYear "2012" @default.
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