• DocumentCode
    3133541
  • Title

    Analysis of fin line tapers by neural network

  • Author

    Wu, Wen ; Li, Xingguo ; Lou, Guowei

  • Author_Institution
    Inst. of MMW & Opt. Wave Near Sensing Tech., Nanjing Univ. of Sci. & Tech., China
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    299
  • Lastpage
    302
  • Abstract
    The neural network model of a fin-line is established firstly and is combined with transmission line theory to develop a new analysis method of fin-line tapers in this paper. Since the simulation process of the neural network model is very fast, the analysis method of fin-line tapers developed is very effective and simple
  • Keywords
    electrical engineering computing; fin line components; fin lines; neural nets; transmission line theory; waveguide transitions; SWR; analysis method; characteristic impedance; fin line tapers; neural network model; simulation process; standing wave ratio; transmission line theory; Analytical models; Design automation; Electromagnetic analysis; Feedforward neural networks; Feeds; Finline; Frequency; Impedance; Neural networks; Transmission line theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference, 2000 Asia-Pacific
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-6435-X
  • Type

    conf

  • DOI
    10.1109/APMC.2000.925796
  • Filename
    925796