SVMs ensemble for radar target recognition based on evolutionary feature selection

被引：0
|
作者：
Zhang, Xiangrong [1 ]
Jiao, Licheng [1 ]
Gou, Shuiping [1 ]
机构：
[1] Xidian Univ, Xian 710071, Peoples R China
来源：
2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/CEC.2007.4424826
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel radar target recognition method based on SVMs ensemble is presented, in which a set of suitable feature subsets are selected for component SVMs by Immune Clonal Algorithm, a new artificial immune system algorithm. With Immune Clonal Algorithm, high quality and high diversity of the components for SVMs ensemble are ensured. Experimental results on one-dimension radar high resolution range profiles demonstrate the validity and reliability of this new radar target recognition method.
引用
收藏
页码：2804 / 2808
页数：5
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