A parameter adjustment algorithm of BP neural network

BP neural network converges slowly and usually falls into partial minimum points. In this paper a new parameter adjustment algorithm is proposed, using anterior accumulated information to modify momentum. The algorithm has characteristics of enhancing the network convergence rate, preventing vibration and reducing network errors. The simulation result indicates that the algorithm is more effective.