New developments in neural computing : proceedings of a meeting on neural computing sponsored by the Institute of Physics and the London Mathematical Society held in London, 19-21 April 1989
Author(s)
Bibliographic Information
New developments in neural computing : proceedings of a meeting on neural computing sponsored by the Institute of Physics and the London Mathematical Society held in London, 19-21 April 1989
A. Hilger, c1989
Available at 29 libraries
Note
Includes bibliographical references
Description and Table of Contents
Description
Research in neural computing is advancing rapidly at present, with important developments being made constantly. In such a fast-moving field it is important for workers to have access to the most up-to-date results, and this book, containing new information from researchers from all over the world, fulfills that need. New Developments in Neural Computing comprises the proceedings of a workshop on neural computing held in London in April 1989. The book begins with four tutorials, intended for beginners in the field, giving an introduction to some of the major topics in neural computing. There follow fifteen contributed papers on a wide variety of topics of current interest, and four invited papers by acknowledged world experts in particular areas. Eduardo Caianello (Italy), one of the founding fathers of the subject, writes on synthesising nets made up of binary decision elements, John Daugman (USA) discusses visual coding and Gabor functions, Rolfe Eckmiller (Germany) covers visuo-motor control in robots and Patrick Gallinari (France) discusses feedforward nets and their learning rules. New Developments in Neural Computing presents the state of the art in neural net research, and so is an important book for anyone interested in the mathematics and physics of the brain, computer science, neurophysiology and brain science in general. It will also be of interest to undergraduate students studying this new field.
Table of Contents
Tutorials: Feedforward networks - a tutorial (D Cohen and J Shawe-Taylor). Spin glasses and neural networks (D Sherrington). Living neural nets (J G Taylor). Implementing neural nets (L S Smith). Contributed papers: A self-organizing feedforward network applied to acoustic data (P D Hewitt, P J C Skitt and R C Witcomb). Realisation of self organising neural maps in 0,1 space (N M Allison and M J Johnson). A net incorporating feedback, for recognising poorly drawn characters (R N Banks and D G Elliman). Vector coding and multiplicative gain control in the nervous system of the crab (P J Fraser). User modelling by classification: a neural-based approach (R Beale, J Finlay, J Austin and M Harrison). A new model of the neuron (D Gorse). The achievement of memory by an antiphon structure (P Whittle). Hard learning in Boolean neural networks (J L Shapiro). The maximum storage capacity in Boolean associative memories (K Y M Wong and D Sherrington). Matched filter model for design of neural networks (D R Selviah and J E Midwinter). Neural network models with sign constrained weights (C Campbell). Neural networks and random iterative maps (P C Bressloff). A neurocomputer exploiting silicon compilation (M M B R Vellasco and P C Treleaven). NIL-PLUS: a neural network implementation language (A S Bavan). PYGMALION: a European neural computing research project (M K O Lee). Invited Papers: A study of neuronic equations (E R Caianiello). Some properties of linear multilayer perceptrons (P Gallinari). Neural control of intelligent robots (R Eckmiller). Non-orthogonal wavelet representations in relaxation networks: image encoding and analysis with biological visual primitives (J Daugman).
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