• DocumentCode
    2122809
  • Title

    Comparison of learning algorithms

  • Author

    Skorpil, Vladislav ; Stastny, Jiri

  • Author_Institution
    Dept. of Telecommun., Brno Univ. of Technol., Brno
  • fYear
    2008
  • fDate
    24-26 June 2008
  • Firstpage
    231
  • Lastpage
    234
  • Abstract
    There are several learning methods which are suitable for neural networks. In this paper two of them are described - Back-propagation (BP) and Genetic (GA) algorithms. These learning methods are compared here and they are used for the control of modern telecommunication network nodes.
  • Keywords
    backpropagation; genetic algorithms; neural nets; telecommunication computing; telecommunication control; backpropagation; genetic algorithms; learning algorithms; neural networks; telecommunication network nodes; Backpropagation algorithms; Communication system control; Computer networks; Data processing; Genetic algorithms; Learning systems; Neural networks; Neurons; Optimization methods; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008 24th Biennial Symposium on
  • Conference_Location
    Kingston, ON
  • Print_ISBN
    978-1-4244-1945-6
  • Electronic_ISBN
    978-1-4244-1946-3
  • Type

    conf

  • DOI
    10.1109/BSC.2008.4563245
  • Filename
    4563245
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2122809