The Application of Neural Network Model in Earthquake Prediction in East China

摘要

This paper presents a full research about earthquake catalogue. We use the earthquake factor to describe the earthquake, make the prediction based on the earthquake data during the past period of time. Considering the nonlinear prediction ability and the generalization ability, we make the seismicity variation rate as the input and create a neural network model. Then validate the model by analyzing the seismicities in East China and illustrate the steps of this method.