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
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;
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
DOI :
10.1109/WCICA.2008.4592991
