DocumentCode
2476555
Title
Particle swarm optimization based RBF neural networks learning algorithm
Author
Kang, Qi ; An, Jing ; Yang, Dongsheng ; Wang, Lei ; Wu, Qidi
Author_Institution
Coll. of Electron. & Inf. Eng., Tongji Univ., Shanghai
fYear
2008
fDate
25-27 June 2008
Firstpage
605
Lastpage
610
Abstract
Swarm intelligence optimization is introduced into RBF neural networks training in this paper, a novel RBF neural networks learning algorithm based on particle swarm optimization is presented, and validated through numerical simulation. Finally, the unite framework of this RBF algorithm based on natural-inspired computation is proposed.
Keywords
learning (artificial intelligence); particle swarm optimisation; radial basis function networks; RBF neural networks learning algorithm; particle swarm optimization; radial basis functions; swarm intelligence optimization; Automation; Computer networks; Educational institutions; Electronic mail; Intelligent control; Intelligent networks; Neural networks; Numerical simulation; Particle swarm optimization; Natural-inspired Computation; Particle Swarm Optimization; RBF Neural Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4592991
Filename
4592991
Link To Document