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用于发震地点预报的几种模式识别方法

Several Methods of Pattern Recognition Used for the Prediction of Earthquake Occurrence Locations

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【作者】 吕宏伯聶金宗陈祖荫马秀芳

【Author】 Lu Hong-bo, Nie Jin-zong, Chen Zu-yin, Ma Xiu-fang

【机构】 北京工业大学应用数学系国家地震局地球物理研究所

【摘要】 本文采用Xe方法及共改进算法与Bayes方法研究了易发震地点的判别分类。结果表明,这三种方法较之Cora—3方法更为有效。利用相关性质对各种孕震过程的特征进行了选择,得到特征数为20时的结果较好。采用迭代优化方法改进了阈值选取办法。并采用二维有序集群方法对各个样本进行了归类,将所得结果与其它方法进行了对照。

【Abstract】 In this paper, discriminatory classification of the places, where earthquakes occur easily, is studied using Simming method, its improvement, and Bayes method. The results show that these three methods are more effective than the Cora-3 method. The features of preparatory process are selected by means of the characteristic of relation, and we found that the relations are better when the number of features is 20. The method of choosing the thresholds is improved using the iterative optimization method. In addition, the samples are classified by means of 2-dimension order clustering method and its results are compared with that of other methods.

  • 【文献出处】 北京工业大学学报 ,Journal of Beijing Polytechnic University , 编辑部邮箱 ,1985年02期
  • 【被引频次】8
  • 【下载频次】17
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