DocumentCode :
822689
Title :
Combining genetic optimisation with hybrid learning algorithm for radial basis function neural networks
Author :
Guo, Lin ; Huang, De-Shuang ; Zhao, Wenbo
Author_Institution :
Inst. of Intelligent Machines, Chinese Acad. of Sci., Hefei, China
Volume :
39
Issue :
22
fYear :
2003
Firstpage :
1600
Lastpage :
1601
Abstract :
A two-step learning scheme for radial basis function neural networks (RBFNN) is proposed. A genetic algorithm initially optimises the parameters of the RBFNN and a hybrid learning algorithm adjusts these parameters further. The designed network is not only parsimonious but also has better generalisation performance.
Keywords :
genetic algorithms; learning (artificial intelligence); radial basis function networks; RBF neural networks; RBFNN; generalisation performance; genetic algorithm; genetic optimisation; hybrid learning algorithm; radial basis function neural networks; two-step learning scheme;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:20031021
Filename :
1244121
Link To Document :
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