摘要
文中首先介绍了支持向量机回归方法,然后对其进行了数值仿真实验,最后利用该方法对首都圈地区的地震活动进行回归建模与内符检验。分析认为,利用该方法可以获得较强的多维地震样本学习、建模与外推泛化能力,具有较高的中长期地震危险性估计能力。
Firstly, the regression method of support vector machine is introduced in this paper. Secondly, effective experiment is done by using of the emulation data. Lastly, regression model of seismic activity is established in Capital Circle. By contrasting and analyzing, we think that the result is fairly effective. It has shown that support vector machine method have ability of multi-dimension learning and forecast, and may be a new effective processing method in analyzing of deformation data.
出处
《东北地震研究》
2006年第4期30-34,共5页
Seismological Research of Northeast China
基金
地震科学联合基金项(A07058)
关键词
支持向量机
地震时间序列
回归
预测
support vector machine
seism time series
regression
forecast
