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
)
Date of Publication: 30 Oct. 2003