An Improved Wavelet Neural Network Structure and Its Learning Algorithm

This paper introduced the general model structure of wavelet neural networks (WNN) for signal recognition and classification. By making full use of the advantages of wavelet transform time-frequency localization, the paper proposed an improved network structure and presented a learning algorithm for the hidden functionwavelet neural network. A simulation on computer showed that using the structure, the precision and sensitivity of signal recognition and classification were improved.