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Non-binary neural networks

  • Donald Prados
  • Subhash Kak
Conference paper
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 130)

Abstract

On capacity considerations it is clear that it is advantageous to use non-binary neural networks.

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References

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    Lance M. Optican and Barry J. Richmond, “Temporal Encoding of Two-Dimensional Patterns by Single Units in Primate Inferior Temporal Cortex. III. Information Theoretic Analysis,” Journal of Neurophysiology, vol. 57, no. 1, pp. 163–178, January 1987.Google Scholar
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    Subhash C. Kak, “CHAOTIC STATES OF MIND—Neural Networks with Nonclassical Synaptic Function,” Louisiana State University, Technical Report #50-88, Baton Rouge, LA, April 29, 1988.Google Scholar
  3. 3.
    Donald L. Prados, “The Capacity of a Neural Network,” Electronics Letters, vol. 24, pp. 454–455, 1988.Google Scholar
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    T. W. Potter, “Storing and Retrieving Data in a Parallel Distributed Memory System,” SUNY at Binghamton, Ph.D. Dissertation, 1987.Google Scholar
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    R. J. McEliece, E. C. Posner, E. R. Rodemich, and S. S. Venkatesh, “The Capacity of the Hopfield Associative Memory,” IEEE Transactions on Information Theory, vol. IT-33, pp. 461–482, 1987.Google Scholar

Copyright information

© Springer-Verlag 1989

Authors and Affiliations

  • Donald Prados
    • 1
  • Subhash Kak
    • 1
  1. 1.Louisiana State UniversityUSA

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