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

摘要: 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。

Abstract: 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.