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《Earthquake》 1994-04
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PRELIMINARY APPLICATION OF NEURAL NETWORK METHOD IN EARTHQUAKE PREDICTION RESEARCH

Feng Deyi Jiang Chun (Seismological Bureau of Tianjin) Wang Dexin (Tianjin University) Tian Shan Zheng Ximing (Seismological Bureau of Tianjin)  
This study has introduced the method of neural networks into the earthquake prediction reseach.By using several seismicity indecies, such as earthquake frequency, maximum magnitude, average magnitude, and the frequency of equivalent earthquakes as the input and the maximum magnitude in forthcoming time interval as the output of neural network, the magnitude of largest earthquake in the given region in near period ( for example, 1 year ) may be predicted. The forward-type model of neural network containing two medium layers is selected and the BP algorithm is used.The result shows that by use of the method of neural networks the consistency degree in the magnitude prediction in certain accuracy may reach 100% in the internal examinations and above 60% in the extrapolated prediction tests.
【CateGory Index】: P315.7
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【References】
Chinese Journal Full-text Database 3 Hits
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