• DocumentCode
    480215
  • Title

    Convergence of Completely Connected Recursive Neural Networks

  • Author

    Zhujun, Fan ; Min, Fan

  • Author_Institution
    Sch. of Math. & Comput. Sci., Sun Yat-sen Univ., Guangzhou
  • Volume
    4
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    767
  • Lastpage
    768
  • Abstract
    This paper discusses the convergence of completely connected recursive neural networks. That is, we analyze the affection of output of the neural networks under which the error donpsilat accumulate, brought by disturbances of inputs and weights. The corresponding conditions are obtained, which are also the conditions of convergence of the neural networks.
  • Keywords
    neural nets; convergence; recursive neural network; Arithmetic; Computer networks; Computer science; Convergence; Impedance matching; Mathematics; Neural networks; Software engineering; Sun; Supervised learning; convergence; recursive neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.283
  • Filename
    4722731
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=480215