Abstract:

A circuit fault diagnosis model based on the back propagation (BP) neural network and adaptive resonance theory neural network is established,and then circuit fault diagnosis method of the BP and ART hybrid neural network is brought forwold. Adaptive resonate theory (ART) network is used to identify new fault, and the BP network is used to identify multi-class faults, the competition method of ART neural network is improved. The method solve the problem of complex circuit fault diagnosis effectively. The experiments show that circuit fault diagnosis method based on BP and improved ART hybrid neural network has characteristics of good adaptability, short training time and high accuracy.