• DocumentCode
    125812
  • Title

    Multi-Net ANN approach for improving antenna optimization

  • Author

    Linh Ho Manh ; Grimaccia, F. ; Mussetta, M. ; Pirinoli, Paola ; Zich, Riccardo E.

  • Author_Institution
    Dipt. di Energia, Politec. di Milano, Milan, Italy
  • fYear
    2014
  • fDate
    16-23 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In recent years, evolutionary algorithms have been successfully adopted for the optimization of various electromagnetic problems. One of the most common electromagnetic application is in the framework of microstrip antennas, thanks to the advantage of being low cost and low profile. In order to reduce the computational effort of the electromagnetic optimization, a suitable equivalent model by ANN has been created in order to substitute the commercially available full-wave analysis solvers. In this article, a new solution for multiple-output problem is presented. All the concepts will be integrated into the optimization of multi-layer proximity coupled feed microstrip antenna. Numerical results and efficiency have been reported in order to enlighten the effectiveness of the proposed approach.
  • Keywords
    microstrip antennas; neural nets; optimisation; telecommunication computing; electromagnetic optimization; equivalent model; full wave analysis; multilayer proximity coupled feed microstrip antenna; multinet ANN approach; Artificial neural networks; Biological neural networks; Microstrip antennas; Optimization; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2014.6929177
  • Filename
    6929177