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Minimal radial basis function neural networks for nonlinear channel equalisation

โœ Scribed by Chandra Kumar, P.; Saratchandran, P.; Sundararajan, N.


Book ID
114457613
Publisher
The Institution of Electrical Engineers
Year
2000
Tongue
English
Weight
783 KB
Volume
147
Category
Article
ISSN
1350-245X

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Selective model structure and parameter updating algorithms are introduced for both the online estimation of NARMAX models and training of radial basis function neural networks. Techniques for on-line model modification, which depend on the vector-shift properties of regression variables in linear m