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Learning Processes in a Random Machine

  • Sadamu Ohteru
  • Tomokazu Kato
  • Yoshiyuki Nishihara
  • Yasuo Kinouchi
Chapter
  • 759 Downloads

Abstract

A random machine, [1, 2] in which the random pulse frequency is used as the machine variable, may be considered to be somewhere between an analog and a digital computer in speed and accuracy of operation and to perform functions similar to those of the brain. The authors have developed an experimental random machine which can be effectively applied to the analysis of a system governed by algebraic or differential equations.

Keywords

Input Pattern Walsh Function Random Pulse Convention Record Reversible Counter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    J. R. Gaines, “Stochastic Computing,” AFIPS Spring Joint Computer Conf. 30. p. 149, 1967.Google Scholar
  2. 2.
    S. T. Ribeiro, “Random Pulse Machines,” IEEE Vol. EC-16 No. 3, p. 261, 1967.Google Scholar
  3. 3.
    S. Ohteru, T. Kato, Y. Nishihara, Y. Kinouchi, “Stochastic Differential Analyzer,” Proceeding ACTES, (Munich), 1970.Google Scholar
  4. 4.
    B. Widrow, M. E. Hoff, “Adaptive Switching Circuits,” WESCON Convention Record, Part IV, 1960Google Scholar
  5. 5.
    S. Ohteru, T. Kato, T. Nagano, Y. Fujii, “Image Restoration Utilizing Learning Machine Techniques,” IMEKO V (Paris), 1970Google Scholar
  6. 6.
    S. Ohteru, T. Kato, Y. Nishihara, S. Hashimoto, “Stochastic Function Generator,” Joint Convention Record of Four IEE, Japan, 1970.Google Scholar

Copyright information

© Plenum Press, New York 1971

Authors and Affiliations

  • Sadamu Ohteru
    • 1
  • Tomokazu Kato
    • 1
  • Yoshiyuki Nishihara
    • 1
  • Yasuo Kinouchi
    • 1
  1. 1.Waseda UniversityTokyoJapan

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