• DocumentCode
    1106021
  • Title

    Real-time operational aspects of Hopfield neural network based dynamic channel allocation scheme

  • Author

    Lazaro, O. ; Girma, D.

  • Author_Institution
    Mobile Commun. Group, Univ. Politecnica de Valencia, Valencia, Spain
  • Volume
    40
  • Issue
    18
  • fYear
    2004
  • Firstpage
    1141
  • Lastpage
    1143
  • Abstract
    Highlighted are operational issues of software-based Hopfield neural network DCA schemes under real-time constraints. In particular, parameter tuning necessitated by rapid convergence of iterative solutions is considered with performance evaluation based on a simulation model.
  • Keywords
    Hopfield neural nets; channel allocation; convergence of numerical methods; iterative methods; statistical analysis; telecommunication computing; tuning; dynamic channel allocation; iterative solutions; parameter tuning; performance evaluation; rapid convergence; real-time constraints; simulation model; software based Hopfield neural network; statistical analysis; telecommunication computing;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20040590
  • Filename
    1335023
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1106021