Reliability Analysis Based on LSSVM and Particle Swarm Optimization

被引：0
|
作者：
Guo, Zhiwei [1 ]
Bai, Guangchen [1 ]
Chen, Deli [1 ]
机构：
[1] Beijing Univ Aeronaut & Astronaut, Sch Jet Prop, Beijing 100191, Peoples R China
来源：
PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND MECHANICS, VOLS 1 AND 2 | 2009年
关键词：
reliability engineering; least squares support vector machine; particle swarm optimization; parameter selection; classification; RESPONSE-SURFACE; NEURAL-NETWORK;
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
In the paper, the computation about failure probability of reliability analysis is considered as a classification problem. The least squares support vector machine is introduced to construct a classifier and the particle swarm optimization technique is used to find optimum parameters of the classifier. Both the examples show that the proposed method can give an approximate result as the monte carlo simulation does.
引用
收藏
页码：361 / 366
页数：6
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