A Method of BP NN Optimization Based on Evolution Algorithm and Its Application

Aiming at the insufficiency of BP neural network,analyses the problems that exist in the optimization process of neural network using evolution algorithm and proposes a new NN optimization method based on evolution algorithm according to competition and adaptation principle among species.The method not only makes up BP NN's random bug when it is used in network instruction and weight choice,contracts answer's search space of NN,quickens BP network's speed in order to improve search efficiency,but also takes effect on network's structures and weights at the same time.Experimental results demonstrate that the method is effective.