Abstract: With the statistics analysis and the phase-wise method, the novel evolutionary artificial neural networks method is proposed in this paper.The method includes three phases:the first phase,the small scale neural network is designed according to the statistics characteristics of training samples;The second phase,with all training samples, developes the construction of the neural network in the first phase.The added neurons are trained alonel and its trainning aim is to conuteract the error of primary neural network till getting the desired network error; The third phase,to simplify the construction of the neural network, merges the neurons in which nonlinear affection is similar by statistics analysis.On the one hand,the method decreases the compression of evolutionary algorithms.On the other hand,the method indicates the correct way of evolutionary artificial neural networks and makes the evolutionary learning process be no longer black box.The validity of the algorithm is shown by computer simulation results.