• DocumentCode
    3628410
  • Title

    Enhanced neural modeling of planar antennas and filters

  • Author

    Petr Smid;Zbynik Raida;Jioi Horak

  • Author_Institution
    Brno University of Technology, Dept. of Radio Electronics, Purky?ova 118, 612 00, Czechia, Czech Republic
  • fYear
    2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The paper deals with an enhanced neural modeling algorithm based on incorporation of both, global optimization method and local one. Proposed algorithm depresses disadvantages of classical neural modeling. A neural model of the low-pass filter is trained to behave as a numerical one, which is analyzed in Zeland IE3D. Both, the neural model and the numerical one are optimized using particle swarm optimization method (PSO). Finally, the results of optimization are compared.
  • Keywords
    "Planar arrays","Filters","Impedance","Artificial neural networks","Numerical models","Optimization methods","Cutoff frequency","Neural networks","Feedforward neural networks","Feedforward systems"
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation, 2006. EuCAP 2006. First European Conference on
  • ISSN
    2164-3342
  • Print_ISBN
    978-92-9092-937-6
  • Type

    conf

  • DOI
    10.1109/EUCAP.2006.4584903
  • Filename
    4584903
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3628410