DocumentCode
2693201
Title
SVMs ensemble for radar target recognition based on evolutionary feature selection
Author
Zhang, Xiangrong ; Jiao, Licheng ; Gou, Shuiping
Author_Institution
Xidian Univ., Xi´´an
fYear
2007
fDate
25-28 Sept. 2007
Firstpage
2804
Lastpage
2808
Abstract
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.
Keywords
artificial immune systems; evolutionary computation; radar computing; radar target recognition; support vector machines; SVM ensemble; artificial immune system; evolutionary feature selection; immune clonal algorithm; radar high resolution range profiles; radar target recognition; Evolutionary computation; Radar; Target recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location
Singapore
Print_ISBN
978-1-4244-1339-3
Electronic_ISBN
978-1-4244-1340-9
Type
conf
DOI
10.1109/CEC.2007.4424826
Filename
4424826
Link To Document