• DocumentCode
    1540187
  • Title

    Associative memories via artificial neural networks

  • Author

    Michel, Anthony N. ; Farrell, Jay A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Notre Dame Univ., IN, USA
  • Volume
    10
  • Issue
    3
  • fYear
    1990
  • fDate
    4/1/1990 12:00:00 AM
  • Firstpage
    6
  • Lastpage
    17
  • Abstract
    Several design techniques that can be used for continuous-time and discrete-time neural networks to realize associative memories are presented. Associative memory is discussed, and neural network models are presented. Some stability concepts are outlined. The applicability of these techniques is demonstrated by means of specific examples that illustrate strengths and weaknesses.<>
  • Keywords
    content-addressable storage; discrete time systems; neural nets; associative memories; design; neural networks; stability concepts; Artificial neural networks; Associative memory; Biological neural networks; Biological system modeling; Humans; Neurofeedback; Neurons; Power generation economics; Problem-solving; Temperature;
  • fLanguage
    English
  • Journal_Title
    Control Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1708
  • Type

    jour

  • DOI
    10.1109/37.55118
  • Filename
    55118
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1540187