• DocumentCode
    1643769
  • Title

    Associative memory design using space-varying cellular neural networks

  • Author

    Martinelli, Giovanni ; Perfetti, R.

  • Author_Institution
    Info-Com Dept., Rome Univ., Italy
  • fYear
    1992
  • Firstpage
    117
  • Lastpage
    122
  • Abstract
    The authors point out that space-varying cellular neural networks (CNNs) are characterized by nearest-neighbor interconnections represented by a cell-dependent connectivity matrix Aij . This biologically inspired architecture has many potential applications. Here, space-varying CNNs are used to design a cellular associative memory
  • Keywords
    content-addressable storage; matrix algebra; neural nets; relaxation theory; cell-dependent connectivity matrix; cellular associative memory; nearest-neighbor interconnections; space-varying cellular neural networks; Associative memory; Biology computing; Biomedical signal processing; Cellular neural networks; Cloning; Computer architecture; Computer networks; Concurrent computing; Neural networks; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and their Applications, 1992. CNNA-92 Proceedings., Second International Workshop on
  • Conference_Location
    Munich
  • Print_ISBN
    0-7803-0875-1
  • Type

    conf

  • DOI
    10.1109/CNNA.1992.274344
  • Filename
    274344
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1643769