Mathematical Approaches to Neural Networks
John G. Taylor · 1993
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-organizing neural networks for stable control of autonomous behaviour 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. Sherrincton). 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).