Earthquake Prediction Based on LM-BP Neural Network

Earthquake predictionis 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 predictionof the neural network, the neural network is applied to earthquake predictionand can obtain good predictioneffect. Because the predisposing factors of earthquake are various and earthquake magnitude predictionis 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 predictionfor earthquake prediction. It also provides a good method for earthquake prediction.