摘要
在Matlab环境下,通过构造SVM,建立地震序列特征参数与序列类型之间的一种非线性映射关系对地震序列类型进行早期分类预测。依据我国1970年以来的MS≥5.0地震序列资料,使用SVM对震后1、2、3、5、7天5个时间尺度的地震序列类型进行早期预测,识别效果较好,处理速度快,具有较强的实用性。
In the environment of Matlab, we construct Support Vector Machine （SVM） to build a kind of nonlinear mapping relationship between seismic sequence characteristic parameter and sequence type, and do the early pre- dictions of earthquake sequence types. On the basis of Ms≥5.0 earthquake sequences in China since 1970, we divide the data in 5 time scales according to one, two, three, five and seven days after the earthquake and apply the SVM to the early predictions of earthquake sequence types. The results show that it achieves good recognition and fast processing speed, and has a strong practicability.
出处
《地震研究》
CSCD
北大核心
2013年第1期69-73,141,共5页
Journal of Seismological Research
基金
国家科技支撑计划项目专题五(2012BAK19B04-05)资助
关键词
地震序列
SVM
统计模式识别
序列类型
早期预测
seismic sequence
SVM
statistic pattern recognition
sequence type
early prediction
