• DocumentCode
    2067086
  • Title

    Catastrophic forgetting in neural networks: the role of rehearsal mechanisms

  • Author

    Robins, Anthony

  • Author_Institution
    Dept. of Comput. Sci., Otago Univ., Dunedin, New Zealand
  • fYear
    1993
  • fDate
    24-26 Nov 1993
  • Firstpage
    65
  • Lastpage
    68
  • Abstract
    The author examines the problem of catastrophic forgetting-the overwriting of old information-in neural networks. He notes that R. Ratcliff´s (1990) experiments with rehearsal regimes are a possible solution to catastrophic forgetting and describes sweep rehearsal-a much more effective regime. The use of sweep rehearsal, however, eventually encounters practical limits as the ability to recognize learned items begins to diminish. The author suggests that sweep rehearsal extends the approach of rehearsal mechanisms as far as is practicable, and exposes their eventual limitations
  • Keywords
    learning (artificial intelligence); neural nets; catastrophic forgetting; neural networks; rehearsal mechanisms; sweep rehearsal; Computer science; Formal specifications; Information processing; Intelligent networks; Learning systems; Neural networks; Robustness; Stability; Supervised learning; Unsupervised learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Neural Networks and Expert Systems, 1993. Proceedings., First New Zealand International Two-Stream Conference on
  • Conference_Location
    Dunedin
  • Print_ISBN
    0-8186-4260-2
  • Type

    conf

  • DOI
    10.1109/ANNES.1993.323080
  • Filename
    323080