Research and Application of Neural Network Based on Improved BP Algorithm

Recently, neural network has attracted a great deal of attention as a method and theory realizing the artificial intelligence. According to the mechanism of BP neural network, the disadvantages of it are analyzed and a new improved BP algorithm is proposed in this paper. The improved algorithm is applied to the learning of XOR question and character recognition question. The simulations show that the improved algorithm can enhance learning speed and reduce error of network. Besides, it has better convergence and robustness performance. The improved algorithm gets far superior performance over traditional BP algorithm in all sides.