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《Seismological Research of Northeast China》 2006-01
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FUZZY SYSTEM OF MAXIMUM MAGNITUDE TIME-SERIES BASED ON LEARNING FROM EXAMPLES(FSLE) IN NORTHERN CHINA

WU An-xu~(1),LIN Xiang-dong~(1),ZHANG Hong-kui~(1),XU Ping~(2,1)LU Ya-jun~(1),MU Hui-yong~(1),LI Ju-zhen~(1),QIAO Zhen-ying~(1),DING Han~(1)(1.Earthquake Administration of Beijing Municipality,Beijing 100080;2.Institute of Geology and Geophysics,Chinese Science Academy,Beijing 100029)  
The theory of fuzzy system by learning from examples(FSLE) is introduced,and then this method is firstly used to prediction of time-series of the earthquake maximum magnitudes in northern China.The result shows that the FSLE method has good forecasting ability,and so it has shown that the method may be a new effective processing method in analyzing of seismic activity and prediction of seismic trend.
【Key Words】: Learning from examples Fuzzy system Northern China Time-series of maximum magnitude Prediction
【Fund】: 上海地区震源参数及介质研究(上海市财政专项030204);; 中国地震局三结合项目资助
【CateGory Index】: P315.7
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