SVM MODEL OPTIMAL MULTI-PARAMETER SELECTION METHOD FOR IMBALANCED DATA TARGET RECOGNITION
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TP183

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    Abstract:

    SVM model optimal multi-parameter selection method for imbalanced data recognition was proposed.First,the connotation and necessity of SVM model multi-parameter selection were theoretically analyzed.Then,a multi-parameter selection criterion based on F-measure was given,which can represent the recognition performance completely.The genetic algorithm was used in search of optimization of multi-parameter in parallel parameter optimal selection.The proposed method can get the global optimal solutions of SVM mo...

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GUO Lei, XIAO Huai-Tie, FU Qiang. SVM MODEL OPTIMAL MULTI-PARAMETER SELECTION METHOD FOR IMBALANCED DATA TARGET RECOGNITION[J]. Journal of Infrared and Millimeter Waves,2009,28(2):

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