Application of the variable architecture BP neural network in fault diagnosis of control system

In this paper a variable architecture BP neural network model is proposed. This new model possesses advantages over the previous one in operation speed, learning ability and fault tolerance to input information. It can be used to promote the recognizing rate of fault pattern and decrease the neural networks learning time in fault diagnosis of control system. The experimental results show that the model is feasible and effective.