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Evolving Gaussian RBF network for nonlinear time series modelling and prediction

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2 Author(s)
S. Aiguo ; Dept. of Radio Eng., Southeast Univ., Nanjing, China ; L. Jiren

A genetic algorithm and recursive least squares (RLS) learning algorithm for a Gaussian radial basis function network is described, for modelling and predicting nonlinear time series. Better generalisation performance can be achieved than that of the usual clustering and RLS method

Published in:

Electronics Letters  (Volume:34 ,  Issue: 12 )