• DocumentCode
    296081
  • Title

    Neural adaptation for optimal traffic shaping in telephone systems

  • Author

    Haitao, Tang ; Simula, O.

  • Author_Institution
    Lab. of Comput. & Inf. Sci., Helsinki Univ. of Technol., Espoo, Finland
  • Volume
    4
  • fYear
    1995
  • fDate
    Nov/Dec 1995
  • Firstpage
    1561
  • Abstract
    In this paper, a traffic shaping for optimal system utilization in telecommunication applications is introduced. The method uses the self-organizing map and a decoding method (called SOM-D) to construct an adaptive resource management for certain systems. The simulation results show that system performance can be significantly improved by using SOM-D
  • Keywords
    decoding; optimisation; resource allocation; self-organising feature maps; telecommunication traffic; telephone traffic; telephony; adaptive resource management; decoding method; optimal traffic shaping; self-organizing map; telephone systems; Decoding; Delay; Humans; Information science; Laboratories; Manuals; System performance; Telephony; Throughput; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1995. Proceedings., IEEE International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-2768-3
  • Type

    conf

  • DOI
    10.1109/ICNN.1995.488849
  • Filename
    488849