Modelling of physical slot parameters with artificial neural networks for U-slot rectangular microstrip patch antennas


GÜLTEKİN S. S., Uzer D.

Scientific Research and Essays, cilt.6, sa.17, ss.3675-3683, 2011 (Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 6 Sayı: 17
  • Basım Tarihi: 2011
  • Doi Numarası: 10.5897/sre11.288
  • Dergi Adı: Scientific Research and Essays
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.3675-3683
  • Anahtar Kelimeler: Artificial neural networks, Slot length, Slot width, U-slot rectangular microstrip patch antenna
  • Yozgat Bozok Üniversitesi Adresli: Hayır

Özet

In this study, slot length and slot width physical parameters that calculated theoretically before on U-slot rectangular microstrip antennas are calculated with two different 'artificial neural network' models then using experimental slot parameters in the literature. The aim of the first model is presenting an approach for calculation of U-slot physical parameters obtained theoretically, with 'artificial neural networks'. The second model shows that experimental U-slot physical parameters can be calculated by the help of 'artificial neural networks'. The results from the second model are compared with experimental results in the literature and it was seen that they are compatible. © 2011 Academic Journals.