Nonlinear time series modelling and prediction using Gaussian RBF network with evolutionary structure optimisation

An evolutionary structure optimisation method for the Gaussian radial basis function network is presented for modelling and predicting nonlinear time series. The generalisation performance is significantly improved with a much smaller network, compared with that of the previous clustering and least square learning method.
Publisher
INST ENGINEERING TECHNOLOGY-IET
Issue Date
2001-05
Language
ENG
Citation

ELECTRONICS LETTERS, v.37, no.10, pp.639 - 640

ISSN
0013-5194
DOI
10.1049/el:20010431
URI
http://hdl.handle.net/10203/8201
Appears in Collection
EE-Journal Papers(저널논문)
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