• DocumentCode
    3313686
  • Title

    Analysis of recurrent network training and suggestions for improvements

  • Author

    De Jesús, Orlando ; Horn, Jason M. ; Hagan, Martin T.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
  • Volume
    4
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2632
  • Abstract
    This paper describes some of the difficulties in training recurrent neural network, provides explanations for why these difficulties occur and explains how they can be mitigated
  • Keywords
    learning (artificial intelligence); recurrent neural nets; dynamic system control; dynamic system identification; recurrent neural network training; Annealing; Computer networks; Control systems; Convergence; Error analysis; Error correction; Interpolation; Neural networks; Recurrent neural networks; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7044-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2001.938785
  • Filename
    938785
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3313686