文献类型：期刊文献

中文题名：岩爆分类的支持向量机方法

英文题名：Classification of rockburst using support vector machine

作者：赵洪波[1]

机构：[1]绍兴文理学院土木系

年份：2005

卷号：26

期号：4

起止页码：642

中文期刊名：岩土力学

外文期刊名：Rock and Soil Mechanics

收录：CSTPCD、、ESCI(收录号：WOS:000409756700029)、EI(收录号：2005209109521)、北大核心2004、Scopus(收录号：2-s2.0-18344390463)、CSCD2011_2012、WOS、北大核心、CSCD

基金：2004年浙江省高校青年教师资助计划项目;绍兴市科技计划项目(No.2004146);院重点学科经费资助

语种：中文

中文关键词：岩爆;分类;支持向量机

外文关键词：Geology;Geotechnical engineering;Mines;Rock mechanics

中文摘要：针对岩爆分类问题,提出了基于支持向量机的分类方法。通过对影响岩爆因素的分析,运用支持向量机理论建立岩爆类别的支持向量机模型。结果表明,基于支持向量机的岩爆分类方法具有较高的准确率,该方法是科学可行的,具有广泛的应用前景。

外文摘要：Rockburst is a disaster occurred usually in deep mines. Because of poor understanding of the mechanism, it is very difficult to give accurate classification using deterministic mechanical methods. A new method, therefore, was proposed. It was to use support vector machine to represent nonlinear relationship between rockburst and its factors. This model was learned from case histories and then could be used fast classification of rockburst for similar conditions. The support vector machine models have been established. The models gave accurate classification for the novel conditions. The results show this method is scientific, reliable, and promising.