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

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3 Author(s)
Lin Guo ; Inst. of Intelligent Machines, Chinese Acad. of Sci., Hefei, China ; De-Shuang Huang ; Wenbo Zhao

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.

Published in:

Electronics Letters  (Volume:39 ,  Issue: 22 )