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Neural Networks: Artificial Intelligence and Industrial Applications

Proceedings of the Third Annual SNN Symposium on Neural Networks, Nijmegen, The Netherlands, 14–15 September 1995

  • Conference proceedings
  • © 1995

Overview

Editors:
  1. Bert Kappen

    1. Dutch Foundation for Neural Networks (SNN), Nijmegen, The Netherlands

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    You can also search for this editor in PubMed   Google Scholar

  2. Stan Gielen

    1. Dutch Foundation for Neural Networks (SNN), Nijmegen, The Netherlands

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    You can also search for this editor in PubMed   Google Scholar

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Table of contents (71 papers)

  1. Front Matter

    Pages i-xiv
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  2. Neural Networks and Artificial Intelligence

    1. Front Matter

      Pages 1-1
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    2. Neurobiology — Orals

      1. Segmentation Coding by the Visual System
        • Reinhard Eckhorn
        Pages 5-12
      2. Synchrony and Fast Plasticity in the Visual Cortex
        • Bob W. van Dijk
        Pages 13-20
      3. Rapid Neural Synchronization: From Spiking Cells to Synfire Webs
        • Andreas V. M. Herz
        Pages 21-28
      4. Dynamic Representations Provide the Gradual Specification of Movement Parameters
        • Klaus Kopecz, Wolfram Erlhagen, Gregor Schöner
        Pages 29-32
      5. Recording from Foveal Striate Cortex while the Monkey is Looking at the Stimulus
        • J. Krüger, I. Bondar, H. Haan
        Pages 33-36
      6. Propagation of Synfire Activity in Cortical Networks: a Statistical Approach
        • Marc-Oliver Gewaltig, Markus Diesmann, Ad Aertsen
        Pages 37-40
      7. Propagation of Synfire Activity in Cortical Networks — a Dynamical Systems Approach
        • Martin Arndt, Wolfram Erlhagen, Ad Aertsen
        Pages 41-44

    4. Cognitive Modelling and Rule Extraction — Orals

      1. The BB Neural Network Rule Extraction Method
        • F. R. Wiersma, M. Poel, A. M. Oudshoff
        Pages 69-72
      2. Implications of Hadley’s Definition of Systematicity
        • Nico Bakker
        Pages 73-76
      3. The Binding Problem in Distributed Systems
        • P. H. de Vries, G. J. Dalenoort
        Pages 77-80
      4. Integrating Symbolic and Subsymbolic Architectures for Parsing Arithmetic Expressions and Natural Language Sentences
        • Jonathan A. Tepper, Heather Powell, Dominic Palmer-Brown
        Pages 81-84
      5. Bayesian Strategies for Machine Learning: Rule Extraction and Concept Detection
        • Laura Martignon, Kathryn Blackmond Laskey
        Pages 85-88

    5. Cognitive Modelling and Rule Extraction — Posters

      1. Learning at subsymbolic and symbolic levels
        • Alain Grumbach
        Pages 91-94
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Keywords

About this book

Neural networks is a field of research which has enjoyed rapid expansion in both the academic and industrial research communities. This volume contains papers presented at the Third Annual SNN Symposium on Neural Networks to be held in Nijmegen, The Netherlands, 14 - 15 September 1995. The papers are divided into two sections: the first gives an overview of new developments in neurobiology, the cognitive sciences, robotics, vision and data modelling. The second presents working neural network solutions to real industrial problems, including process control, finance and marketing. The resulting volume gives a comprehensive view of the state of the art in 1995 and will provide essential reading for postgraduate students and academic/industrial researchers.

Editors and Affiliations

  • Dutch Foundation for Neural Networks (SNN), Nijmegen, The Netherlands

    Bert Kappen, Stan Gielen

Bibliographic Information

  • Book Title: Neural Networks: Artificial Intelligence and Industrial Applications

  • Book Subtitle: Proceedings of the Third Annual SNN Symposium on Neural Networks, Nijmegen, The Netherlands, 14–15 September 1995

  • Editors: Bert Kappen, Stan Gielen

  • DOI: https://doi.org/10.1007/978-1-4471-3087-1

  • Publisher: Springer London

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag London Limited 1995

  • Softcover ISBN: 978-3-540-19992-2Published: 22 September 1995

  • eBook ISBN: 978-1-4471-3087-1Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XIV, 398

  • Number of Illustrations: 36 b/w illustrations

  • Topics: Pattern Recognition, Artificial Intelligence, Neurosciences

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