• DocumentCode
    2771873
  • Title

    Neuromodelling of Frequency Selective Surfaces and E-Shaped Microstrip Antennas

  • Author

    Silva, Patric Lacouth da ; Assunção, Adaildo Gomes D

  • Author_Institution
    Department of Electrical Engineering, Federal University of Rio Grande do Norte Caixa Postal 1655, Natal, RN, Brazil, CEP: 59072-970, Tel.: +55 84 3215 3700, e-mail: lacouth@gmail.com
  • fYear
    2006
  • fDate
    16-21 July 2006
  • Firstpage
    2374
  • Lastpage
    2377
  • Abstract
    The main objective of this work is the application of Artificial Neural Networks (ANN) in the analysis of microwave integrated circuits, such as frequency selective surfaces (FSS) and E-shaped microstrip antennas. The advantages of modeling these devices through neural networks are discussed. The FSS ANN results are presented and validated with those from the method of moments (MoM). The antenna ANN results are presented and validated with measured ones. Furthermore, a good generalization capacity of the ANN analysis was observed.
  • Keywords
    Antenna measurements; Application specific integrated circuits; Artificial neural networks; Frequency selective surfaces; Integrated circuit measurements; Microstrip antennas; Microwave antennas; Microwave devices; Microwave integrated circuits; Moment methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2006. IJCNN '06. International Joint Conference on
  • Print_ISBN
    0-7803-9490-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2006.247061
  • Filename
    1716411