可靠性分析中的最小二乘支持向量机分类方法

郭秩维; 白广忱

doi:10.3879/j.issn.1000-0887.2009.07.005

可靠性分析中的最小二乘支持向量机分类方法

doi: 10.3879/j.issn.1000-0887.2009.07.005

北京航空航天大学能源与动力工程学院, 北京 100191

基金项目: 国家高技术研究发展计划(863)资助项目(2006AA04Z405)

详细信息

作者简介:
郭秩维(1981- ),男,山东人,博士生(联系人.Tel:+86-10-83929385;E-mail:guozhiwei-guoshuai@vip.sina.com).

中图分类号: TB114.3
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- 文章访问数: 1736
- HTML全文浏览量: 167
- PDF下载量: 747
- 被引次数: 0
出版历程
- 收稿日期: 2008-05-19
- 修回日期: 2009-05-18
- 刊出日期: 2009-07-15

Classification Using Least Squares Support Vector Machine for Reliability Analysis

School of Jet Propulsion, Beijing University of Aeronautics and Astronautics, Beijing 100191, P. R. China

摘要

摘要: 为了提高支持向量分类机在处理大样本可靠性问题时的计算效率，将最小二乘支持向量分类机引入到可靠性分析中，使得支持向量机中的二次规划问题转化为求解线性方程组问题，减少了计算量．数值算例表明：基于最小二乘支持向量分类机的可靠性方法与基于支持向量分类机的可靠性方法具有一样的计算精度，而且前者的计算效率明显优于后者．
- 最小二乘 /
- 支持向量机 /
- 分类 /
- 可靠性 /
- 功能函数
Abstract: In order to improve efficiency of support vector machine for classification on dealing with large amount of samples,least squares support vector machine for classification method was introduced into the reliability analysis,in which the solving of support vector machine was transformed from a quadratic programming to a group of linear equations to reduce computational cost.The numerical results indicate that the reliability method based on least squares vector for classification has excellent accuracy and a smaller computational cost than support vector machine method.
- least squares /
- support vector machine /
- classification /
- reliability /
- performance function

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参考文献(19)

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可靠性分析中的最小二乘支持向量机分类方法

doi: 10.3879/j.issn.1000-0887.2009.07.005

作者简介:
郭秩维(1981- ),男,山东人,博士生(联系人.Tel:+86-10-83929385;E-mail:guozhiwei-guoshuai@vip.sina.com).

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Classification Using Least Squares Support Vector Machine for Reliability Analysis

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留言板

可靠性分析中的最小二乘支持向量机分类方法

doi: 10.3879/j.issn.1000-0887.2009.07.005

作者简介: 郭秩维(1981- ),男,山东人,博士生(联系人.Tel:+86-10-83929385;E-mail:guozhiwei-guoshuai@vip.sina.com).

计量

出版历程

Classification Using Least Squares Support Vector Machine for Reliability Analysis

计量

出版历程

目录

作者简介:
郭秩维(1981- ),男,山东人,博士生(联系人.Tel:+86-10-83929385;E-mail:guozhiwei-guoshuai@vip.sina.com).