预测华北地区年度地震趋势的支持向量机分类方法

Method to predict the annual earthquake tendency in North China area with Suppor Vector Machines classification

以太阳黑子数、地球自转速率变化数据和全球7级以上地震应变释放量作为预测因子,使用支持向量机分类方法建模预测中国华北地区年度地震强度,预测准确率为0.93,表明该方法具有较好的预测效果。

Taking Earth rotation rate and strain release of the global over 7 earthquakes as predicting factors,a classification model of Support Vector Mathines to forecast earthquake intensity in North China area is established.As the accuracy of prediction is 0.93,it shows the method is useful.