• DocumentCode
    488638
  • Title

    High Order Recursive Neural Networks

  • Author

    Hush, Don ; Abdallah, Chaouki ; Horne, Bill

  • Author_Institution
    Department of Electrical Engineering and Computer Engineering, University of New Mexico, Albuquerque, NM, 87131 USA.
  • fYear
    1991
  • fDate
    26-28 June 1991
  • Firstpage
    23
  • Lastpage
    24
  • Abstract
    This paper modifies the previously introduced recursive neural network (RNN) to include higher order terms. Applications of the new structure in systems theory are discussed.
  • Keywords
    Application software; Chaos; Computer networks; Equations; Multi-layer neural network; Multilayer perceptrons; Neural networks; Nonlinear dynamical systems; Recurrent neural networks; Recursive estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1991
  • Conference_Location
    Boston, MA, USA
  • Print_ISBN
    0-87942-565-2
  • Type

    conf

  • Filename
    4791314
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=488638