Application of support vector machine to synthetic earthquake prediction

被引：0
|
作者：
Chun Jiang 1
机构：
来源：
Earthquake Science | 2009年 / 03期
关键词：
support vector machine; seismicity parameter; precursory data; synthetic earthquake prediction;
D O I：
暂无
中图分类号：
P315.75 [地震预报];
学科分类号：
070801 ;
摘要：
This paper introduces the method of support vector machine (SVM) into the field of synthetic earthquake pre-diction, which is a non-linear and complex seismogenic system. As an example, we apply this method to predict the largest annual magnitude for the North China area (30°E-42°E, 108°N-125°N) and the capital region (38°E-41.5°E, 114°N-120°N) on the basis of seismicity parameters and observed precursory data. The corresponding prediction rates for the North China area and the capital region are 64.1% and 75%, respectively, which shows that the method is feasible.
引用
收藏
页码：315 / 320
页数：6
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