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Neural Networks: A Tutorial

  • E. Domany
Part of the Springer Proceedings in Physics book series (SPPHY, volume 27)

Abstract

The subject of Neural Networks does not fit naturally into the general context of a meeting on ”Competing Interactions & Microstructures: Statics and Dynamics”. Therefore, I will try to explain what Neural Networks are, why are (some) physicists interested in them, and why is it not completely absurd to have a talk on them in such a meeting. A much extended version of my strongly biased views on the subject is given in a review article [1], which also contains a more detailed list of references. Here I present only an extended abstract that summarizes the main points of my talk.

References

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    R. Meir and E. Domany, Phys. Rev. Lett. 59, 359 (1987).ADSCrossRefGoogle Scholar
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    D. E. Rumelhart and J. L. McClelland: Parallel Distributed Processing:Explorations in the Microstructure of Cognition, 2 vols. The MIT Press Cambridge Mass. 1986.Google Scholar
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    F. Rosenblatt, Principles of Neurodynamics, Spartan, Washington D.C. 1961.Google Scholar
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    M. Minsky and S. Papert, Perceptrons, MIT Press, Cambridge Mass. 1969.MATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • E. Domany
    • 1
  1. 1.Department of ElectronicsWeizman Institute of ScienceRehovotIsrael

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