The Establishment Of Self-Adapting Algorithm Of BP Neural Network And Its Application

摘要

This paper is connected with the problem of selecting archit ectural parameters and learning rate of BP artificial neural network. The self-adapting algorithm is proposed for BP neural network, and the corresponding C language procedure is programmed. 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.