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
Infinite dimensional radial basis function neural networks for nonlinear transformations on function spaces
β Scribed by Kemal Leblebicioglu; Ugur Halici
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 250 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0362-546X
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