The Research Based on GA-SVM Feature Selection Algorithm

Hong Mei Li; Lin Gen Yang; Li Hua Zou

doi:10.4028/www.scientific.net/AMR.532-533.1497

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 532-533The Research Based on GA-SVM Feature Selection...

The Research Based on GA-SVM Feature Selection Algorithm

Abstract:

To make feature subset which can gain the higher classification accuracy rate, the method based on genetic algorithms and the feature selection of support vector machine is proposed. Firstly, the ReliefF algorithm provides a priori information to GA, the parameters of the support vector machine mixed into the genetic encoding,and then using genetic algorithm finds the optimal feature subset and support vector machines parameter combination. Finally, experimental results show that the proposed algorithm can gain the higher classification accuracy rate based on the smaller feature subset.

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Periodical:

Advanced Materials Research (Volumes 532-533)

Pages:

1497-1502

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.532-533.1497

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Online since:

June 2012

Authors:

Hong Mei Li, Lin Gen Yang, Li Hua Zou

Keywords:

Feature, Feature Selection, Genetic Algorithm (GA), Support Vector Machine (SVM)

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