SVM MODEL OPTIMAL MULTI-PARAMETER SELECTION METHOD FOR IMBALANCED DATA TARGET RECOGNITION
非均衡数据目标识别中SVM模型多参数优化选择方法

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...