Title :
A review of learning algorithm for radius basis function neural network
Author :
Liu, Guohai ; Xiao, Xiahong ; Mei, Congli ; Ding, Yuhan
Author_Institution :
Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
Abstract :
In this paper, Radius Basis Function Neural Network´s basic learning algorithms are reviewed from the aspects of convergence, training speed, network structure, generalization, etc. Advantages and disadvantages of each learning algorithm are pointed out. And the prospect of dynamic neural network is considered.
Keywords :
generalisation (artificial intelligence); learning (artificial intelligence); radial basis function networks; convergence; dynamic neural network; generalization; learning algorithm; network structure; radius basis function neural network; training speed; Approximation algorithms; Biological neural networks; Heuristic algorithms; Neurons; Optimization; Signal processing algorithms; GA; Growth method; OLS; PSO; Pruning method; Radius Basis Function Neural Network;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244177
