Research on the application of wavelet neural network in the surrounding rock displacement prediction

Based on the neural network theory, this paper proposes the neural network model to solve the surrounding rock displacement prediction of nonlinear problems. This model combines the advantages of wavelet time-frequency analysis and neural network self-learning. The studies had shown that the wavelet neural network had higher prediction accuracy. In addition, it could better reveal the changes of displacement of surrounding rock that provided a reliable theoretical basis for reasonable judge and guide the stability of surrounding rock tunnel construction. Therefore, it has a good future in the field of engineering application.