• DocumentCode
    3441676
  • Title

    A modified Hopfield neural network to allow a speed A/D conversion

  • Author

    Cataldo, G. Di ; Palumbo, G.

  • Author_Institution
    Istituto di Elettrotecnica ed Elettronica, Catania Univ., Italy
  • fYear
    1991
  • fDate
    13-16 May 1991
  • Firstpage
    831
  • Lastpage
    834
  • Abstract
    The theoretical performance of a speed A/D conversion attained from a modified Hopfield neural network is discussed. The particular network permits a theoretical A/D conversion based on the specific design of the neuron´s settling time. Starting from the equivalent Smith and Portmann circuit, where the authors have modified the trigger´s hysteresis and thresholds, they propose a new theoretical circuit, based on a theorem, which is also demonstrated
  • Keywords
    analogue-digital conversion; neural nets; Hopfield neural network; equivalent circuit; hysteresis; settling time; speed A/D conversion; thresholds; Artificial neural networks; Computer networks; Feedback circuits; Feedback loop; Hopfield neural networks; Hysteresis; Neural networks; Neurofeedback; Neurons; Trigger circuits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    CompEuro '91. Advanced Computer Technology, Reliable Systems and Applications. 5th Annual European Computer Conference. Proceedings.
  • Conference_Location
    Bologna
  • Print_ISBN
    0-8186-2141-9
  • Type

    conf

  • DOI
    10.1109/CMPEUR.1991.257498
  • Filename
    257498