• DocumentCode
    1088070
  • Title

    CMOS mean field learning

  • Author

    Schneider, Charles R. ; Card, H.C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
  • Volume
    27
  • Issue
    19
  • fYear
    1991
  • Firstpage
    1702
  • Lastpage
    1704
  • Abstract
    Analogue CMOS circuits which implement contrastive Hebbian learning have been designed, fabricated, and tested. A 19 neuron, 342 synapse mean field network, or deterministic Boltzmann machine (4.16*2.76 mm2 in 1.2 mu m CMOS) has been constructed based on these synaptic circuits. Very small learning step size may be employed in this chip, which is advantageous for reliable mean field learning.
  • Keywords
    CMOS integrated circuits; analogue circuits; learning systems; neural nets; analogue CMOS circuits; contrastive Hebbian learning; deterministic Boltzmann machine; learning step size; mean field network; synaptic circuits;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19911060
  • Filename
    132897
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1088070