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The application of neural networks to comprehensive prediction by seismology prediction method
Authors:WEI WANG  GENG-FENG WU  XIAN-YUE SONG
Institution:1. Seismological Bureau of Shanghai, Shanghai 200062, China
2. Computer Institute of Shanghai University, Shanghai 200072, China
Abstract:BP neural networks is used to mid-term earthquake prediction in this paper. Some usual prediction parameters of seismology are used as the import units of neural networks. And the export units of neural networks is called as the character parameter W_0 describing enhancement of seismicity. We applied this method to space scanning of North China. The result shows that the mid-term anomalous zone of W_0-value usually appeared obviously around the future epicenter 1~3 years before earthquake. It is effective to mid-term prediction.
Keywords:BP neural networks nonlinear relationship seismological method of earthquake prediction comprehensive earthquake prediction
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