• DocumentCode
    1648826
  • Title

    SOM associative memory for temporal sequences

  • Author

    Sakurai, Naoaki ; Hattori, Motonobu ; Ito, Hiroshi

  • Author_Institution
    Dept. of Comput. Sci. & Media Eng., Yamanashi Univ., Japan
  • Volume
    1
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    950
  • Lastpage
    955
  • Abstract
    We propose an associative memory based on a self-organizing map which can store and recall temporal sequences. Since the proposed associative memory learns temporal sequences by using their context information, it can handle very complex temporal sequences
  • Keywords
    content-addressable storage; learning (artificial intelligence); self-organising feature maps; sequences; SOM associative memory; context information; self-organizing map; temporal sequences; Associative memory; Computer science; Context modeling; Difference equations; Displays; Humans; Indium tin oxide; Neural networks; Neurons; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7278-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2002.1005603
  • Filename
    1005603