• DocumentCode
    1676984
  • Title

    Adaptive behavior with fixed weights in RNN: an overview

  • Author

    Prokhorov, Danil V. ; Feldkarnp, L.A. ; Tyukin, Ivan Yu

  • Author_Institution
    Ford Res. Lab., Dearborn, MI, USA
  • Volume
    3
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    2018
  • Lastpage
    2022
  • Abstract
    In this paper we review recent results on the adaptive behavior attained with fixed-weight recurrent neural networks (meta-learning). We argue that such behavior is a natural consequence of prior training
  • Keywords
    Boolean functions; adaptive systems; backpropagation; multilayer perceptrons; recurrent neural nets; time series; Boolean functions; adaptive behavior; backpropagation; fixed-weight; meta-learning; multilayer perceptrons; recurrent neural networks; time series; Equations; Feedback; Intelligent networks; Multilayer perceptrons; Recurrent neural networks;
  • 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.2002.1007449
  • Filename
    1007449
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1676984