• DocumentCode
    315284
  • Title

    Associative ability of higher order neural networks

  • Author

    Yatsuki, Shuji ; Miyajima, Hiromi

  • Author_Institution
    Dept. of Electr. Eng., Kagoshima Univ., Japan
  • Volume
    2
  • fYear
    1997
  • fDate
    9-12 Jun 1997
  • Firstpage
    1299
  • Abstract
    Higher order neural networks (HONNs) have been proposed as new systems. In this paper, we show some theoretical results on the associative ability of HONNs. Memory capacity of HONNs is much larger than that of the conventional neural networks. The capacity of auto-correlation associative memory is (mk)/(2 log m), where m is the number of neurons and K is the order of connections
  • Keywords
    associative processing; content-addressable storage; neural nets; associative ability; auto-correlation associative memory; higher order neural networks; memory capacity; Associative memory; Autocorrelation; Input variables; Neural networks; Neurons; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks,1997., International Conference on
  • Conference_Location
    Houston, TX
  • Print_ISBN
    0-7803-4122-8
  • Type

    conf

  • DOI
    10.1109/ICNN.1997.616222
  • Filename
    616222
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=315284