• DocumentCode
    1707402
  • Title

    Fast extraction of L & C parameters of MEMS Transmission Line using Neural Network

  • Author

    Patnaik, Prabhat K. ; Panda, Dhruba C.

  • Author_Institution
    Dept. of E.C.E, Centurion Univ. of Technol. & Manage., Paralakhemundi, India
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Presently “equivalent Inductance L” and “equivalent Capacitance C” values of Distributed MEMS Transmission Line (DMTL) are found using EM optimization technique. In this paper, we propose an efficient approach using Neural Network (NN) for extraction of L and C values of DMTL. This method takes less computational resource. The LC values extracted from the neural network model are compared with EM simulation results.
  • Keywords
    electronic engineering computing; micromechanical devices; neural nets; transmission lines; EM optimization technique; EM simulation; LC value extraction; NN; computational resource; distributed DMTL; distributed MEMS Transmission Line; equivalent Inductance extraction; equivalent capacitance extraction; mems transmission line; neural network model; Artificial neural networks; Computational modeling; Mathematical model; Micromechanical devices; Power transmission lines; Solid modeling; capacitance; inductance; mems; neural network; transmission line;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Electromagnetics Conference (AEMC), 2013 IEEE
  • Conference_Location
    Bhubaneswar
  • Print_ISBN
    978-1-4799-3266-5
  • Type

    conf

  • DOI
    10.1109/AEMC.2013.7045082
  • Filename
    7045082
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1707402