%0 Journal Article
%T SVM MODEL OPTIMAL MULTI-PARAMETER SELECTION METHOD FOR IMBALANCED DATA TARGET RECOGNITION<br>非均衡数据目标识别中SVM模型多参数优化选择方法
%A GUO Lei
%A XIAO Huai-Tie
%A FU Qiang
%A <br>郭雷
%A 肖怀铁
%A 付强
%J 红外与毫米波学报
%D 2009
%I Science Press
%X 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...
%K 目标识别
%K 非均衡数据
%K 支持矢量机
%K 模型优化选择
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=16CB97EAD18DD2A409475E95733A1E3D&yid=DE12191FBD62783C&vid=D3E34374A0D77D7F&iid=0B39A22176CE99FB&sid=A8DE7703CC9E390F&eid=769BD58726D66E7D&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=0&reference_num=14