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.
机构:
Department of Mathematics, University of Petroleum and Energy Studies, Dehradun,248007, IndiaDepartment of Mathematics, University of Petroleum and Energy Studies, Dehradun,248007, India
Pant, Sangeeta
Anand, Dhiraj
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机构:
Department of Electrical and Electronics, GEU, Dehradun,248002, IndiaDepartment of Mathematics, University of Petroleum and Energy Studies, Dehradun,248007, India
Anand, Dhiraj
Kishor, Amar
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机构:
Department of Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata,700108, IndiaDepartment of Mathematics, University of Petroleum and Energy Studies, Dehradun,248007, India
Kishor, Amar
Singh, Suraj Bhan
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机构:
Department of Mathematics, Statistics and Computer Science, G.B.Pant University of Agriculture and Technology, Pantnagar,236145, IndiaDepartment of Mathematics, University of Petroleum and Energy Studies, Dehradun,248007, India