Radial Basis Function Networks 2 New Advances in Design

The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced

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Studies in Fuzziness and Soft Computing Editor-in-chief Prof. Janusz Kacprzyk Systems Research Institute Polish Academy of Sciences ul. Newelska 6 01-447 Warsaw, Poland E-mail: [email protected] http://www.springer.de/cgi-bin/search_book.pl ?series= 2941

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Robert J. Howlett Lakhmi C. Jain Editors

Radial Basis Function Networks 2 New Advances in Design With 109 Figures and 28 Tables

Springer-Verlag Berlin Heidelberg GmbH

Dr. Robert J. Howlett University of Brighton School of Engineering Intelligent Signal Processing Laboratories (ISP) Moulsecoomb, Brighton BN2 4GJ United Kingdom r.j [email protected] Professor La

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