Orthogonal forward selection for constructing the radial basis function network with tunable nodes

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Chen, S., Hong, X. orcid id iconORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2005) Orthogonal forward selection for constructing the radial basis function network with tunable nodes. Lecture Notes in Computer Science, 3644. pp. 777-786. ISSN 0302-9743

Abstract/Summary

An orthogonal forward selection (OFS) algorithm based on the leave-one-out (LOO) criterion is proposed for the construction of radial basis function (RBF) networks with tunable nodes. This OFS-LOO algorithm is computationally efficient and is capable of identifying parsimonious RBF networks that generalise well. Moreover, the proposed algorithm is fully automatic and the user does not need to specify a termination criterion for the construction process.

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/15168
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
Uncontrolled Keywords LEAST-SQUARES, ALGORITHM, IDENTIFICATION, OPTIMIZATION, REGRESSION, PURSUIT
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