Combining genetic optimisation with hybrid learning algorithm for radial basis function neural networks

被引:16
|
作者
Guo, L [1 ]
Huang, DS [1 ]
Zhao, WB [1 ]
机构
[1] Chinese Acad Sci, Inst Intelligent Machines, Hefei 230031, Peoples R China
关键词
D O I
10.1049/el:20031021
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:1600 / 1601
页数:2
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