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Nonlinear curve fitting using extreme learning machines and radial basis function networks

journal contribution
posted on 09.07.2019, 00:00 by Minmei LiMinmei Li, Santoso WibowoSantoso Wibowo, Wanwu GuoWanwu Guo
Fast neural network techniques - ELM and RBF networks are used to solve the traditional curve fitting problems, where the localized effect of network basis function is corrected by introducing a linear neuron. Numerical experiments demonstrate that the neural-based method is accurate and well-suited for fitting large volume of data. IEEE

History

Volume

21

Issue

5

Start Page

6

End Page

15

Number of Pages

10

eISSN

1558-366X

ISSN

1521-9615

Publisher

IEEE, US

Peer Reviewed

Yes

Open Access

No

Era Eligible

Yes

Journal

Computing in Science and Engineering