Multiwavelet neural network classification based on pre-processing methods

Through the introduction of basis multiwavelets theory and the analysis of multiwavelet transformation, a network is proposed and discussed. The corresponding learning algorithm of multiwavelet neural network is given. The classification with the multiwavelet neural network based on pre-processing method is put forward and discussed in the paper. Simulations results for classification, of transmission line fault type in power system), shou) that the classification with multiwavelet neuarl network classification based on pre-processing methods is better than those without pre-processing methods and with wavelet neural network in the end.