Abstract: In identification of nonlinear system, the network inputs usually are multivariables. The approach using wavelets alone to resolve the problem is complex. Therefore ,the paper establishes a new network method by combining neural network and wavelet characteristics to handle the multivariable problem simply and effectively. This paper also gives the mathematical verification that the network can approximate any kind of functions. The simulation results of an examkple indicate the validity of the method.