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Fuzzy System on Forecast and Pre-Warning of Seismic Activity Based on Learning from Examples (FSLE)
详细信息   
摘要
In this paper, the authors introduced this method into trend prediction and pre-warning study of seismic activity: firstly, the theory of fuzzy system by learning from examples (FSLE) is introduced, and then this method is firstly used in seismic prediction and pre-warning of time-series of the earthquake maximum magnitude in North China. The result shows that the FSLE method has good prospect for forecast and pre-warning of earthquakes, and so it has shown that the method may be a new effective method in analyzing of forecast and pre-warning of seismic activity.

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