EvRBF: evolving RBF neural networks for classification problems

Authors:
Victor M. Rivas;Maribel G. Arenas;Juan J. Merelo;Alberto Prieto
Affiliations:
University of Jaen, Department of Computer Science, Jaen, Spain;University of Jaen, Department of Computer Science, Jaen, Spain;University of Granada, Department of Architecture and Computers Technology, ETSII de Granada, Spain;University of Granada, Department of Architecture, and Computers Technology, ETSII de Granada, Spain
Venue:
AIC'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Informatics and Communications - Volume 7
Year:
2007

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Abstract

This paper shows the latest results of the EvRBF algorithm applied to classification problems. EvRBF is an evolutionary algorithm intended to automatically design Radial Basis Functions Neural Networks (RBFNN), being its main advantage that establishes the whole set of parameters of the nets.