• DocumentCode
    2755339
  • Title

    Randomly connected neural nets

  • Author

    Dodd, R.K. ; Kirchherr, W.

  • Author_Institution
    Dept. of Math. & Comput. Sci., San Jose Univ., CA, USA
  • fYear
    1991
  • fDate
    8-14 Jul 1991
  • Abstract
    Summary form only given, as follows. Theories of efficient circuits which have a direct relevance for neural nets of arbitrary architecture are discussed. The main results are concerned with randomly connected neural nets which have a large number of nodes. These nets can be compared with those for the Hopfield model by taking the limit of a complete graph
  • Keywords
    graph theory; neural nets; Hopfield model; architecture; efficient circuits; graph theory; nodes; randomly connected neural nets; Circuits; Computer architecture; Computer science; Concrete; Informatics; Information analysis; Mathematics; Neural network hardware; Neural networks; Software tools;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-0164-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.155662
  • Filename
    155662
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2755339