• DocumentCode
    1680587
  • Title

    Recall and separation ability of chaotic associative memory with variable scaling factor

  • Author

    Osana, Yuko

  • Author_Institution
    Tokyo Univ. of Technol., Japan
  • Volume
    3
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    2710
  • Lastpage
    2715
  • Abstract
    In this paper, we propose a chaotic associative memory (CAM) with variable scaling factor which can separate superimposed patterns and can deal with one-to-many associations. In the proposed model, the appropriate parameters of chaotic neurons can be determined easily than in the original chaotic associative memory
  • Keywords
    chaos; content-addressable storage; CAM; chaotic associative memory; one-to-many associations; recall ability; separation ability; superimposed pattern separation; variable scaling factor; Associative memory; Biological neural networks; Biological system modeling; CADCAM; Chaos; Computer aided manufacturing; Damping; Integrated circuit modeling; Neural networks; Neurons;
  • 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.2002.1007575
  • Filename
    1007575
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1680587