Classification Using Least Squares Support Vector Machine for Reliability Analysis

GUO Zhi-wei; BAI Guang-chen

doi:10.3879/j.issn.1000-0887.2009.07.005

Volume 30 Issue 7

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GUO Zhi-wei, BAI Guang-chen. Classification Using Least Squares Support Vector Machine for Reliability Analysis[J]. Applied Mathematics and Mechanics, 2009, 30(7): 799-810. doi: 10.3879/j.issn.1000-0887.2009.07.005

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Classification Using Least Squares Support Vector Machine for Reliability Analysis

doi: 10.3879/j.issn.1000-0887.2009.07.005

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

Received Date: 2008-05-19
Rev Recd Date: 2009-05-18
Publish Date: 2009-07-15

Abstract

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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References(19)

References

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