ANN trained by PSO with adaptive genetic operator and its application

A new particle swarm optimization algorithm with adaptive genetic operator(AGPSO) for training ANN was proposed to solve the problems appeared in the train of artificial neural network(ANN) such as the local minimum′s basin of attraction and low speed.Controlled by probability,the particles were operated by genetic operator when ANN is trained by PSO algorithm.This new algorithm was used to train the ANN model of vehicle engine fault diagnosis.The result shows that the neural network trained by AG-PSO algorithm needs least amounts of iterations and achieves the better training accuracy than BP algorithm,GA and PSO algorithm.