Study on the selection of thermal power enterprise’s coal suppliers based on wavelet neural network

BP neural network has the shortcomings of slow convergence and is prone to fall into local optimums flows. In this paper, structure and learning algorithm of wavelet neural network are briefly introduced, then a new method of wavelet neural network which can make full use of part characteristic of wavelet time frequent and combine the ability of self study of neural network is presented to form a model for selection of thermal power enterprisepsilas coal suppliers.