• DocumentCode
    3715027
  • Title

    An artificial neural network model for S-parameter of microstrip line

  • Author

    Gao Xue-lian; Cui Zhen-nan; Feng Nan; Zhang Xiao-yu; Hao Jian-hong

  • Author_Institution
    School of Electrical and Electronic Engineering, North China Electric Power University, No. 2, Beinong Road, Changping District, Beijing, China
  • fYear
    2013
  • fDate
    5/1/2013 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In order to solve the real-time calculation and analysis of S-parameter under different structures of microstrip line, the paper gives a method to establish a generic artificial neural network (ANN) model for S-parameter of microstrip line, which combines electromagnetic field numerical analysis with artificial neural network. By avoiding a large number of repetitive computing tasks, the model which is produced by this method can give S-parameter under different structures of microstrip line precisely and efficiently.
  • Keywords
    "Computational modeling","Numerical models","Artificial neural networks","Chlorine","Electromagnetics","Three-dimensional displays","Software"
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Compatibility (APEMC), 2013 Asia-Pacific Symposium on
  • Type

    conf

  • DOI
    10.1109/APEMC.2013.7360643
  • Filename
    7360643