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19

IJON
2008

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A multi-objective approach to RBF network learning

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A multi-objective approach to RBF network learning

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The problem of inductive supervised learning is discussed in this paper within the context of multi-objective (MOBJ) optimization. The smoothness-based apparent (effective) complexity measure for RBF networks is considered. For the specific case of RBF network, bounds on the complexity measure are formally described. As the synthetic and real-world data experiments show, the proposed MOBJ learning method is capable of efficient generalization control along with network size reduction. r 2008 Elsevier B.V. All rights reserved.

Illya Kokshenev, Antônio de Pádua Bra

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Added	25 Jan 2011
Updated	25 Jan 2011
Type	Journal
Year	2008
Where	IJON
Authors	Illya Kokshenev, Antônio de Pádua Braga

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