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Study of the Kohonen network with a discrete state space

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  • Thiran, Patrick
  • Hasler, Martin

Abstract

Digital (or mixed mode) circuit implementations of neural networks bring one major modification to their ideal, defectless models: quantization of the weights dynamics. Would this modification completely perturb the behavior of the network, it will never be possible to implement it on a digital (or mixed mode) VLSI chip. Clearly, the analysis of quantization effects is crucial for practical applications. It has been mainly studied for Hopfield networks and multi-layer networks.

Suggested Citation

  • Thiran, Patrick & Hasler, Martin, 1995. "Study of the Kohonen network with a discrete state space," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 38(1), pages 189-197.
    • Handle: RePEc:eee:matcom:v:38:y:1995:i:1:p:189-197
    DOI: 10.1016/0378-4754(93)E0082-G
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    Cited by:

    1. Bonanno, Giacomo, 2001. "Branching Time, Perfect Information Games, and Backward Induction," Games and Economic Behavior, Elsevier, vol. 36(1), pages 57-73, July.

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