• DocumentCode
    288630
  • Title

    Implementation of a fully parallel Kohonen map: a mixed analog digital approach

  • Author

    Peiris, Vincent ; Hochet, Batrand ; Declercq, Michel

  • Author_Institution
    Swiss Federal Inst. of Technol., Lausanne, Switzerland
  • Volume
    4
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    2064
  • Abstract
    This paper describes the CMOS implementation of a digitally behaving Kohonen map. Although input values and synaptic weights are quantized, the basic blocks are implemented using digital or analog techniques where best suited, combined with efficient information encoding. This has lead the authors to the design of a modular 4×4 Kohonen neuron chip that may be cascaded in order to realize large size fully parallel Kohonen maps
  • Keywords
    CMOS integrated circuits; VLSI; analogue processing circuits; learning (artificial intelligence); neural chips; parallel architectures; self-organising feature maps; CMOS implementation; digitally behaving Kohonen map; fully parallel Kohonen map; input values; mixed analog digital approach; modular 4×4 Kohonen neuron chip; synaptic weights; CMOS technology; Circuits; Convergence; Encoding; Equations; Hardware; Neural networks; Neurons; Vectors; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.374531
  • Filename
    374531