Research of Fuzzy Wavelet Neural Network and Its Applicatio

Aiming at disadvantages of wavelet neural network such as long training time and easily gets into local minimum value, the paper put forward a method that wavelet neural network fused fuzzy algorithm, and built fuzzy wavelet neural network model and its training algorithm.It gave practical sample of the model in fault prediction of frequency-conversion speed-regulation system. The application result indicated that fuzzy wavelet neural network improves network training speed and achieves good effect of function approximation.