Earthquake Prediction Based on LM-BP Neural Network

Abstract

Earthquake prediction is an important task of geography problem study and a worldwide difficult problem of science. It is difficult for people to establish physics theoretical model because there are many relative factors arising earthquake. Considering the strong fault-tolerant ability and fast velocity of prediction of the neural network, the neural network is applied to earthquake prediction and can obtain good prediction effect. Because the predisposing factors of earthquake are various and earthquake magnitude prediction is difficult, the LM-BP algorithm is applied to the earthquake prediction. The simulation results show that the proposed method is an effective tool for earthquake prediction. And it has fast convergence and high precision of prediction for earthquake prediction. It also provides a good method for earthquake prediction.