• DocumentCode
    1050115
  • Title

    Design of Hopfield content-addressable memories

  • Author

    Xinhua Zhuang ; Yan Huang ; Yu, Frank A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
  • Volume
    42
  • Issue
    2
  • fYear
    1994
  • fDate
    2/1/1994 12:00:00 AM
  • Firstpage
    492
  • Lastpage
    495
  • Abstract
    The Hamming-stability perceptron learning rule (PHSL) is proposed for the Hopfield content-addressable memories based on three well recognized criteria, which amount to widely expanding the basin of attraction around each desired attractor. Extensive experiments convincingly show that the PHSL does take good care of three optimal criteria
  • Keywords
    Hopfield neural nets; content-addressable storage; learning (artificial intelligence); stability; Hamming-stability perceptron learning rule; Hopfield content-addressable memories; experiments; Associative memory; CADCAM; Computer aided manufacturing; Content addressable storage; Logic; Neural networks; Neurons; Performance analysis; Stability; Symmetric matrices;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.275639
  • Filename
    275639
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1050115