• DocumentCode
    296066
  • Title

    Engram decay in artificial neural networks

  • Author

    Copland, Howard ; Hendtlass, Tim

  • Author_Institution
    Centre for Intelligent Syst., Swinburne Univ. of Technol., Hawthorn, Vic., Australia
  • Volume
    1
  • fYear
    1995
  • fDate
    Nov/Dec 1995
  • Firstpage
    669
  • Abstract
    In this paper the process of forgetting, termed “engram decay”, in artificial neural networks is examined for three classes of networks: the self organizing map, fuzzy logic adaptive resonance theory and, maximally connected backpropagation networks. All networks were trained to categorize three varieties of iris. How iris categories are forgotten is shown to be strongly related to the distribution of iris categories in feature space
  • Keywords
    ART neural nets; backpropagation; feedforward neural nets; fuzzy neural nets; self-organising feature maps; backpropagation networks; engram decay; feature space; forgetting process; fuzzy logic adaptive resonance theory; iris categories; learning; self organizing map; Artificial intelligence; Artificial neural networks; Australia; Backpropagation; Biological neural networks; Biological system modeling; Fuzzy logic; Intelligent networks; Intelligent systems; Iris; Organizing; Resonance; Waveguide discontinuities;
  • 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.1995.488260
  • Filename
    488260
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=296066