The Establishment of Self-adapting Algorithm of BP Neural Network and Its Application
BP人工神经网络自适应学习算法的建立及其应用

We resolve the problem of selecting architectural parameters, learning rate, initial connection weights and improves BP algorithm of artificial neural network. The self\|adapting algorithm of BP artificial neural network has been proposed, and programmed a C language procedure. It can make the selection of input units, hidden units and learning rate easily in the course of training, reduce external interference and improve the adaptive ability of learning rate and neural network. Our conclusion shows that the self\|adapting algorithm of BP artificial neural network superior to the statistical modeling approach and the traditional BP artificial neural network, it can not only exactly imitate training valuation but also make prediction accurately.