• DocumentCode
    1745033
  • Title

    Terminal attractor based back propagation learning for feedforward neural networks

  • Author

    Jiang, Mian ; Yu, Xiizghuo

  • Author_Institution
    Fac. of Inf. & Commun., Central Queensland Univ., Rockhampton, Qld.,, Australia
  • Volume
    3
  • fYear
    2001
  • fDate
    6-9 May 2001
  • Firstpage
    711
  • Abstract
    In this paper, the terminal attractor based back propagation learning algorithms for feedforward neural networks are examined. Through a rigorous mathematical analysis, a condition to guarantee the convergence of the algorithms is given. A simulation study is presented to demonstrate the effectiveness of the analysis
  • Keywords
    backpropagation; convergence; feedforward neural nets; mathematical analysis; backpropagation learning; feedforward neural networks; guaranteed convergence; mathematical analysis; simulation study; terminal attractor based BP learning; Analytical models; Australia; Convergence; Feedforward neural networks; Function approximation; Informatics; Mathematical analysis; Neural networks; Pattern recognition; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-6685-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2001.921431
  • Filename
    921431
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1745033