A Novel Proximal Support Vector Machine and Its Application in Radar Target Recognition
会议名称：《第二十六届中国控制会议》
会议日期：2007年
学科分类：12[管理学] 080904[工学-电磁场与微波技术] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0810[工学-信息与通信工程] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 081105[工学-导航、制导与控制] 0835[工学-软件工程] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：supported by National Defense Foundation under Grant:51407030103DZ0117
关 键 词：Proximal support vector machine Modified PSVM Radar target recognition
摘 要：The samples are assumed to distribute normally in the solution of the standard proximal support vector machine（PSVM）.But in many application problems,the data set for each class is generally unbalanced,where a poor performance can be gotten by *** this,a novel PSVM is presented,namely the modified PSVM（MPSVM）.By adding a new diagonal matrix in the primal optimization problem,the new algorithm assigns the different penalty coefficients to the positive and negative samples *** the samples in different classes can make different contributions to the learning of the decision *** on the sufficient experimental results on the UCI datasets,MPSVM is also applied to the meas-ured radar range profile images and the results illustrate the effectiveness of the proposed method.