Evolving Gaussian RBF network for nonlinear timeseries modellingand prediction
Electronics LettersPublished 11 June 1998
Aiguo Song, Jiren Lu
Citations28
SJR quartileQ3
SJR score0.27
SNIP0.44
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TL;DR
A genetic algorithm and recursive least squares learning algorithm for a Gaussian radial basis function network is described, for modelling and predicting nonlinear time series.
Abstract
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.
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Computer ScienceEngineering
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