• DocumentCode
    298377
  • Title

    An automatic VLSI implementation of Hopfield ANNs

  • Author

    Fornaciari, William ; Salice, Fabio

  • Author_Institution
    CEFRIEL, Milan, Italy
  • Volume
    1
  • fYear
    1994
  • fDate
    3-5 Aug 1994
  • Firstpage
    499
  • Abstract
    The aim of this paper is to present a methodology covering the digital synthesis of a Hopfield neural network. The obtained system is based on a proper pipelined/multiplexed connection among some basic processing elements called pseudo-neurons and is able to support only the recall phase
  • Keywords
    Hopfield neural nets; VLSI; neural chips; neural net architecture; ANN; Hopfield neural network; VLSI; digital synthesis; multiplexed connections; pipelined connections; pseudo-neurons; recall phase; Amplitude shift keying; Artificial neural networks; Circuit synthesis; Electronic mail; Hopfield neural networks; Network synthesis; Neural networks; Neurons; Time to market; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
  • Conference_Location
    Lafayette, LA
  • Print_ISBN
    0-7803-2428-5
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1994.519287
  • Filename
    519287
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=298377