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
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;
Conference_Titel :
Radar, 2001 CIE International Conference on, Proceedings
Conference_Location :
Beijing
Print_ISBN :
0-7803-7000-7
DOI :
10.1109/ICR.2001.984890
