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Theory and Applications of Neural Networks

Proceedings of the First British Neural Network Society Meeting, London

  • Conference proceedings
  • © 1992

Overview

Editors:
  1. J. G. Taylor

    1. Department of Mathematics, King’s College, Strand, London, UK

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  2. C. L. T. Mannion

    1. Department of Electrical Engineering, University of Surrey, Guildford, Surrey, UK

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Perspectives in Neural Computing (PERSPECT.NEURAL)

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Table of contents (19 papers)

  1. Front Matter

    Pages i-xiii
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  2. Invited Lecture

    1. Front Matter

      Pages 1-1
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    2. Self-Organizing Cortical Networks for Distributed Hypothesis Testing and Recognition Learning

      • Gail A. Carpenter, Stephen Grossberg
      Pages 3-27

  3. Tutorials

    1. Front Matter

      Pages 29-29
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    2. Dynamical Systems and Artificial Neural Networks

      • J. G. Taylor
      Pages 31-76

    3. Neural Modelling

      • C. L. T. Mannion
      Pages 77-100

    4. Self-Organising Neural Maps and their Applications

      • N. M. Allinson
      Pages 101-118

  4. Contributed Papers

    1. Front Matter

      Pages 119-119
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    2. The Application of Topological Mapping in the Study of Human Cerebral Tumours

      • G. Sieben, L. Vercauteren, M. Praet, G. Otte, L. Boullart, L. Calliauw et al.
      Pages 121-124

    3. Reliable Memory from Unreliable Components

      • P. Whittle
      Pages 125-128

    4. Possible Strategies for Using Sleep to Improve Episodic Memory in the Face of Overlap

      • A. R. Gardner-Medwin
      Pages 129-138

    5. Curvature-Driven Smoothing in Backpropagation Neural Networks

      • C M Bishop
      Pages 139-148

    6. A spontaneously growing network for unsupervised learning

      • Peter Fletcher
      Pages 149-163

    7. Virtual Connectivity through Structural Dissipation; Parallel Distributed Computation with Local Connectivity

      • R. W. Taylor
      Pages 164-179

    8. Temporally Processing Neural Networks for Morse Code Recognition

      • Darrin Hill
      Pages 180-197

    9. Dynamics of Binary Networks with Extended Time-Summation

      • P. C. Bressloff
      Pages 198-210

    10. Training Strategies for Probabilistic RAMs

      • D. Gorse, J. G. Taylor
      Pages 211-217

    11. Computer Simulations of Recurrent Neural Nets for Temporal Recognition Problems

      • G. S. Cooper, T. M. Child
      Pages 218-231

  5. Invited Papers

    1. Front Matter

      Pages 233-233
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    2. Learning Vector Quantisation and the Self Organising Map

      • Teuvo Kohonen
      Pages 235-242
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Keywords

About this book

This volume contains the papers from the first British Neural Network Society meeting held at Queen Elizabeth Hall, King's College, London on 18--20 April 1990. The meeting was sponsored by the London Mathemati­ cal Society. The papers include introductory tutorial lectures, invited, and contributed papers. The invited contributions were given by experts from the United States, Finland, Denmark, Germany and the United Kingdom. The majority of the contributed papers came from workers in the United Kingdom. The first day was devoted to tutorials. Professor Stephen Grossberg was a guest speaker on the first day giving a thorough introduction to his Adaptive Resonance Theory of neural networks. Subsequent tutorials on the first day covered dynamical systems and neural networks, realistic neural modelling, pattern recognition using neural networks, and a review of hardware for neural network simulations. The contributed papers, given on the second day, demonstrated the breadth of interests of workers in the field. They covered topics in pattern recognition, multi-layer feedforward neural networks, network dynamics, memory and learning. The ordering of the papers in this volume is as they were given at the meeting. On the final day talks were given by Professor Kohonen (on self organising maps), Professor Kurten (on the dynamics of random and structured nets) and Professor Cotterill (on modelling the visual cortex). Dr A. Mayes presented a paper on various models for amnesia. The editors have taken the opportunity to include a paper of their own which was not presented at the meeting.

Editors and Affiliations

  • Department of Mathematics, King’s College, Strand, London, UK

    J. G. Taylor

  • Department of Electrical Engineering, University of Surrey, Guildford, Surrey, UK

    C. L. T. Mannion

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