• DocumentCode
    1032866
  • Title

    Autocompensated capacitive circuit for stochastic neural networks

  • Author

    Zhu, Yujia ; Belhaire, E. ; Ni, Yiyang ; Garda, Patrick

  • Author_Institution
    Univ. de Paris-Sud, Orsay
  • Volume
    30
  • Issue
    4
  • fYear
    1994
  • fDate
    2/17/1994 12:00:00 AM
  • Firstpage
    330
  • Lastpage
    331
  • Abstract
    A capacitive analogue circuit for the implementation of stochastic neural networks is described. This circuit automatically compensates for parasitic effects such as charge injection and the offset of the decision unit; it is well-suited to the implementation of the learning algorithms of Boltzmann machines
  • Keywords
    Boltzmann machines; CMOS integrated circuits; learning (artificial intelligence); linear integrated circuits; neural chips; switched capacitor networks; Boltzmann machines; CMOS implementation; autocompensated capacitive circuit; automatic compensation; capacitive analogue circuit; charge injection; decision unit offset; learning algorithms; parasitic effects; stochastic neural networks;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19940250
  • Filename
    267313
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1032866