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《Chinese Journal of Geophysics》 1997-04
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CLASSIFIER SYSTEM BASED ON GENETIC ALGORITHMS AND ITS APPLICATION IN EARTHQUAKE PREDICTION

CHEN QI-FU (Center for Analysis and Prediction, State Seismological Bureau. Beijing 100036, China)SHI YAO-LIN (Graduate School. University of Science and Technology of China, Chinese Academy of Sciences, Beijing 100039, China)  
In this paper, it is given that a brief description of a Classifier System based on Genetic Algorithms which simulate the mechanics of natural selection and natural genetics. For Beijing-Tianjin-Tangshan-Zhangjiakou region, a simple adaptive classifier system for earthquake prediction is constructed on the basis of seismic data. Eight seismicity parameters are selected and a rule set for earthquake forecasting system is established. The set includes 20 rules and they have different fitness and a hierarchy.For main moderate shocks occurred in the studied region, the fitness of the rule set was analyzed and some abnormal combinations were found. Those abnormal combinations may be important for earthquake prediction and are difficult to be recognized by traditional analysis. It is shown that the Classifier System with Genetic Algorithms is very useful and helpful to the study in earthquake prediction.
【Fund】: 国家自然科学基金;;地震科学联合基金
【CateGory Index】: P315
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