• DocumentCode
    2636584
  • Title

    An improved Levenberg-Marquardt learning algorithm for neural networks based on terminal attractors

  • Author

    Batbayar, Batsukh ; Yu, Xinghuo

  • Author_Institution
    Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC
  • fYear
    2008
  • fDate
    10-12 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, an improved Levenberg-Marquardt learning algorithm based on terminal attractors for feedforward neural networks is proposed. The effectiveness of the proposed algorithm in improving learning speed is shown by the simulation results.
  • Keywords
    feedforward neural nets; learning (artificial intelligence); Levenberg-Marquardt learning algorithm; feedforward neural networks; terminal attractors; Australia; Backpropagation algorithms; Biomedical optical imaging; Computational modeling; Computer networks; Convergence; Feedforward neural networks; Neural networks; Optical character recognition software; Optical computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-3908-9
  • Electronic_ISBN
    978-1-4244-2386-6
  • Type

    conf

  • DOI
    10.1109/ISSCAA.2008.4776198
  • Filename
    4776198
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2636584