• DocumentCode
    1579671
  • Title

    On the transfer function of macro-neuron

  • Author

    Emelyanov-Yaroslavsky, L.B. ; Potapov, V.I.

  • Author_Institution
    Machines & Tools Inst., Moscow, Russia
  • fYear
    1992
  • Firstpage
    1127
  • Abstract
    In artificial intelligence models which are characterized by large volumes of associative memory, it is very important to find a compact description of the memory elements, while preserving the neural logic. The authors describe results of a numerical experiment which shows a way to correctly replace neurons by macro-neurons (ensembles)
  • Keywords
    content-addressable storage; neural nets; transfer functions; artificial intelligence models; associative memory; ensembles; macro-neurons; memory elements; neural logic; numerical experiment; transfer function; Artificial intelligence; Associative memory; Frequency; Logic; Neural networks; Neurons; Shape; Tail; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
  • Conference_Location
    Rostov-on-Don
  • Print_ISBN
    0-7803-0809-3
  • Type

    conf

  • DOI
    10.1109/RNNS.1992.268626
  • Filename
    268626
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1579671