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