Title :
A Method for Training RBF Neural Networks Based on Population Migration Algorithm
Author :
Zhang, Weiwei ; Luo, Qifang ; Zhou, Yongquan
Author_Institution :
Coll. of Math. & Comput. Sci., Guangxi Univ. for Nat., Nanning, China
Abstract :
This paper proposes a new global optimization technique in which combines population migration algorithm (PMA) and radial basis function (RBF) neural networks learning algorithm for training RBF neural network. Compared with the traditional RBF training algorithm, the simulation results show that the method has a higher accuracy in a stringency and works well in avoiding sticking in local minima.
Keywords :
learning (artificial intelligence); optimisation; radial basis function networks; RBF neural networks; neural network training; population migration algorithm; radial basis function network; Artificial intelligence; Artificial neural networks; Biological neural networks; Computational modeling; Feedforward neural networks; Function approximation; Information processing; Neural networks; Optimization methods; Radial basis function networks; RBF neural networks; global optimization; population migration algorithm; weight;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.35
