Application of fuzzy neural network in fault diagnosis of gasoline engine

Research on the good and bad points of fuzzy theory and neural network technology in fault diagnosis. Combine them in this paper with the method connected. Firstly using fuzzy method to process the information, and then diagnosis of the faults with neural networks approaching ability. Construct inference system to solve complicated faults happened in gasoline engine with this method. The results of Matlab simulation show the that this method results has the high precision. It has the great improvement than only use fuzzy logic or neural network method.