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According to the requirement for safety of power supply enterprises, a new method based on kernel principal component analysis and support vector machine is introduced in this paper: kernel principal component analysis which extracts the most important factors influencing safety can optimize the parameters of support vector machine. Fast multi-class support vector machine, as the evaluation tool, classifies enterprises' safety condition into four groups. The result of experiment shows that the method can reduce the complex of assessment and is more comprehensive. It also improves rapidity and accuracy of traditional SVM model. Furthermore, the safety of power supply enterprises can be improved by the new method.
Machine Learning and Cybernetics, 2009 International Conference on (Volume:2 )
Date of Conference: 12-15 July 2009