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Neural model for pattern recognition

  • Jing-xue Wang
  • Masashi Nakamura
  • Takashi Jimbo
  • Masayoshi Umeno
Communications
Part of the Lecture Notes in Computer Science book series (LNCS, volume 654)

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References

  1. [1]
    M.Midsky and S.Papert: “Perceptron-An Essay in Computational Geometry ”,M.I.T,Press,1969.Google Scholar
  2. [2]
    J.J.Hopfield and D.W.Tank: “Neural Computation of Decisions in Optimization Problems”, Biol.Cybern, pp.141–152,1985.Google Scholar
  3. [3]
    K,Fukushima:“Neural model of pattern recognition system, neo-cognition”, Trans.IEICE J62-A.pp.658–665,1979.Google Scholar
  4. [4]
    D.E.Rumelhart, G.E.Hinton and R.J.Williams: “Learning Representation by Back-propagation Errors”, Nature, Vol.323, pp.533–536, 1986.Google Scholar
  5. [5]
    M.Umeno, J.X.Wang and T.Jimbo:“The Mechanism and Simulation of Human Pattern Recognition”,Bull.Nagoya Inst. of Tech, pp.173–178,1989.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Jing-xue Wang
    • 1
  • Masashi Nakamura
    • 2
  • Takashi Jimbo
    • 1
  • Masayoshi Umeno
    • 1
  1. 1.Department of Electrical & Computer EngineeringNagoya Institute of TechnologyNagoyaJapan
  2. 2.Department of Electrical EngineeringSuzuka College of TechnologySuzukaJapan

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