A Misfire Diagnosis System for Automobile Engines Based on Genetic Algorithms and Fuzzy Neural Network
نویسندگان
چکیده
For common misfiring fault of automobile engines, this paper presents an algorithm named GA-FNN which is the combination of the genetic algorithm (GA) and the fuzzy neural network (FNN). It calculates the memberships of inputs and initializes the weights and thresholds of the neural network by genetic algorithm firstly, and then trains the network and uses it for diagnosis. Simulation results demonstrate GA-FNN has better precision and convergence than FNN. Lastly, GA-FNN is embedded into the expert system with an interactive interface for users.
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