• DocumentCode
    3620691
  • Title

    Modeling of patch antennas using neural networks

  • Author

    B. Milovanovic;M. Milijic;A. Atanaskovic;Z. Stankovic

  • Author_Institution
    Fac. of Electron. Eng., Aleksandra Medvedeva, Nis, Serbia
  • Volume
    2
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    385
  • Abstract
    In this paper patch antennas are modeled using neural model based on multi-layer perceptrons (MLP) network. Neural model is trained by data, which are obtained by electromagnetic simulation of antennas using HFSS 9.0 software. This model has four input parameters: patch antenna length L, patch antenna width W, deep of patch antenna slot l and width of patch antenna slot s and it enables quick and correct calculation of resonant frequency f/sub r/ and minimum value of S/sub 11/ parameter (S/sub 11min/).
  • Keywords
    "Patch antennas","Neural networks","Biological neural networks","Neurons","Resonant frequency","Dielectric substrates","Slot antennas","Antenna feeds","Electromagnetic modeling","Bandwidth"
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications in Modern Satellite, Cable and Broadcasting Services, 2005. 7th International Conference on
  • Print_ISBN
    0-7803-9164-0
  • Type

    conf

  • DOI
    10.1109/TELSKS.2005.1572133
  • Filename
    1572133
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3620691