Mathematical Approaches to Neural Networks - 1st Edition - ISBN: 9780444816924, 9780080887395

Mathematical Approaches to Neural Networks, Volume 51

1st Edition

Editors: J.G. Taylor
Hardcover ISBN: 9780444816924
eBook ISBN: 9780080887395
Imprint: North Holland
Published Date: 27th October 1993
Page Count: 381
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Table of Contents

Control theory approach (P.J. Antsaklis). Computational learning theory for artificial neural networks (M. Anthony, N. Biggs). Time-summating network approach (P.C. Bressloff). The numerical analysis approach (S.W. Ellacott). Self-organising neural networks for stable control of autonomous behavior in a changing world (S. Grossberg). On-line learning processes in artificial neural networks (T.M. Heskes, B. Kappen). Multilayer functionals (D.S. Modha, R. Hecht-Nielsen). Neural networks: the spin glass approach (D. Sherrington). Dynamics of attractor neural networks (T. Coolen, D. Sherrington). Information theory and neural networks (J.G. Taylor, M.D. Plumbley). Mathematical analysis of a competitive network for attention (J.G. Taylor, F.N. Alavi).


Description

Control theory approach (P.J. Antsaklis). Computational learning theory for artificial neural networks (M. Anthony, N. Biggs). Time-summating network approach (P.C. Bressloff). The numerical analysis approach (S.W. Ellacott). Self-organising neural networks for stable control of autonomous behavior in a changing world (S. Grossberg). On-line learning processes in artificial neural networks (T.M. Heskes, B. Kappen). Multilayer functionals (D.S. Modha, R. Hecht-Nielsen). Neural networks: the spin glass approach (D. Sherrington). Dynamics of attractor neural networks (T. Coolen, D. Sherrington). Information theory and neural networks (J.G. Taylor, M.D. Plumbley). Mathematical analysis of a competitive network for attention (J.G. Taylor, F.N. Alavi).


Details

No. of pages:
381
Language:
English
Copyright:
© North Holland 1993
Published:
Imprint:
North Holland
eBook ISBN:
9780080887395

About the Editors

J.G. Taylor Editor

Affiliations and Expertise

University of London, King's College London, Centre for Neural Networks, Deparment of Mathematics, London, UK