Classification of the Seismic Series Type Based on the Support Vector Machine

详细信息   

• 责任者：Wu Anxu (Earthquake Administration of Beijing Municipality ; Beijing 100080 ; China) ; Jiang Changsheng
• 刊名：Seismological Research of Northeast China
• 出版年：2008
• 卷期：24(1)
• 关键词：地震序列 ; seismic sequence
• 页码：p.50-60
• 图表：2 illus., 1 table, 22 refs.
• 分类号：0500
• issnNo：ISSN1004-2865
• isbnNo：CN21-1108/P

摘要

Based on the structural risk minimization principle, algorithm, in artificial intelligence field was introduced in the latest data mining method, support vector machine (SVM) this paper. Classifying models for seismic series type were established according to the linear classify algorithm and the nonlinear classify algorithm of SVM. The support vector machine classifying algorithm has an obvious superiority whatever on machine learning or prediction accuracy, and the classifying model for seismic series type based on the SVM theory is feasible, and it can classify the seismic serial type more accurately.