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使用人工神经网络进行我国大陆强震时间序列预测
引用本文:王炜,谢端,宋先月,赵利飞.使用人工神经网络进行我国大陆强震时间序列预测[J].西北地震学报,2002,24(4):315-319.
作者姓名:王炜  谢端  宋先月  赵利飞
作者单位:1. 上海市地震局,上海,200062
2. 中国科学技术大学地球与空间科学系,安徽,合肥,230026
基金项目:地震科学联合基金(100028)
摘    要:使用人工神经网络对中国大陆最大地震时间序列进行预测,预测次年的中国大陆最大地震震级,结果表明该方法具有较好的预报效果。还表明中国大陆强震活动除了与强震时间序列本身有关外,还与全球的强震活动,太阳黑子活动等有密切的非线性关系。

关 键 词:地震时间序列  人工神经网络  太阳黑子  地震预测  震级
文章编号:1000-0844(2002)04-0315-05
收稿时间:2001/4/12 0:00:00
修稿时间:2001年4月12日

FORECASTING METHOD OF EARTHQUAKE TIME SERIAL IN MAINLAND OF CHINA BY USING THE ARTIFICIAL NEURAL NETWORKS
WANG Wei,XIE Duan,SONG Xian-yue and ZHAO Li-fei.FORECASTING METHOD OF EARTHQUAKE TIME SERIAL IN MAINLAND OF CHINA BY USING THE ARTIFICIAL NEURAL NETWORKS[J].Northwestern Seismological Journal,2002,24(4):315-319.
Authors:WANG Wei  XIE Duan  SONG Xian-yue and ZHAO Li-fei
Institution:Seismological Bureau of Shanghai, Shanghai 200062, China,University of Science and Technology of China, Hefei 230026, China,Seismological Bureau of Shanghai, Shanghai 200062, China and Seismological Bureau of Shanghai, Shanghai 200062, China
Abstract:The artificial neural networks is used to prediction of time serial of the earthquake max. magnitudes in mainland of China, and to forecast earthquake max. magnitude for next year. The result shows that the method has good forecasting ability. The result also indicates that seismicity of strong earthquake in mainland of china is not only related with the time serial of strong earthquake but also the seismicity of strong earthquake in the world and the sunspot.
Keywords:Time serial of earthquake  Artificial neural networks  Sunspot
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