DocumentCode
2265765
Title
Evolutionary design of neural network classifiers for radar target recognition
Author
Ying, Li ; Licheng, Jiao
Author_Institution
Nat. Lab of Radr Signal Process., Xidian Univ., Xi´´an, China
fYear
2001
fDate
2001
Firstpage
1047
Lastpage
1049
Abstract
An automatic method of designing classifiers for radar target recognition by the range profiles is proposed. The classifiers are made of feedforward neural networks whose topology and weight distributions are evolved by a hybrid evolutionary algorithm
Keywords
evolutionary computation; feedforward neural nets; radar resolution; radar target recognition; radar theory; signal classification; feedforward neural networks; hybrid evolutionary algorithm; neural network classifiers; radar resolution; radar target recognition; range profiles; Algorithm design and analysis; Artificial neural networks; Evolutionary computation; Feedforward neural networks; Neural networks; Radar imaging; Radar signal processing; Robustness; Signal processing algorithms; Target recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar, 2001 CIE International Conference on, Proceedings
Conference_Location
Beijing
Print_ISBN
0-7803-7000-7
Type
conf
DOI
10.1109/ICR.2001.984890
Filename
984890
Link To Document