DocumentCode :
1560670
Title :
The application of one improved Niche genetic algorithm for Elman recurrent neural networks
Author :
Liu, Zhiyong ; Liu, Mandan ; Qian, Feng
Author_Institution :
Res. Inst. of Autom. Control, East China Univ. of Sci. & Technol., Shanghai, China
Volume :
3
fYear :
2004
Firstpage :
1978
Abstract :
During optimize the weights of Elman recurrent neural networks by genetic algorithm, if use simple genetic algorithm, two problems appear: constringency too early and the speed of search too slow in the anaphase. Aim at these problems, an improved Niche genetic algorithm is presented in this paper. Simulation results show that this algorithm can achieve perfect effect.
Keywords :
genetic algorithms; recurrent neural nets; Elman recurrent neural networks; improved Niche genetic algorithm; optimization; Automatic control; Genetic algorithms; Recurrent neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
Type :
conf
DOI :
10.1109/WCICA.2004.1341926
Filename :
1341926
Link To Document :
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