• DocumentCode
    296115
  • Title

    Multimodule associative memory for many-to-many associations

  • Author

    Hattori, Motonobu ; Hagiwara, Masafumi

  • Author_Institution
    Dept. of Electr. Eng., Keio Univ., Yokohama, Japan
  • Volume
    4
  • fYear
    1995
  • fDate
    Nov/Dec 1995
  • Firstpage
    1755
  • Abstract
    A multimodule associative memory for many-to-many associations (MMA)2 is proposed. The features of the proposed (MMA)2 are: 1) it can memorize and recall not only many-to-many associations but also the context and union associations; 2) it can guarantee the recall of all training data; and 3) it has high storage capacity
  • Keywords
    associative processing; content-addressable storage; learning (artificial intelligence); neural nets; pattern recognition; context association; many-to-many associations; multimodule associative memory; quick learning algorithm; storage capacity; union association; Artificial intelligence; Associative memory; Biological neural networks; Hebbian theory; Humans; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1995. Proceedings., IEEE International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-2768-3
  • Type

    conf

  • DOI
    10.1109/ICNN.1995.488886
  • Filename
    488886
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=296115