Calculation of bandwidth for electrically thin and thick rectangular microstrip antennas with the use of multilayered perceptrons

Sagiroglu Ş., Guney K., Erler M.

INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING, cilt.9, sa.3, ss.277-286, 1999 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 9 Sayı: 3
  • Basım Tarihi: 1999
  • Dergi Adı: INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.277-286
  • Anahtar Kelimeler: rectangular microstrip antenna, bandwidth, artificial neural networks, ARTIFICIAL NEURAL NETWORKS, RESONANT-FREQUENCY, PATCH ANTENNA, ELEMENTS, EFFICIENCY, SUBSTRATE, MODEL
  • Gazi Üniversitesi Adresli: Hayır

Özet

A new, simple approach for calculating bandwidth of electrically thin and thick rectangular microstrip patch antennas, based on multilayered perceptrons network, is presented. Four learning algorithms, backpropagation, delta-bar-delta, quick propagation, and extended-delta-bar-delta are used to train perceptrons. Theoretical bandwidth results obtained using the new approach are in agreement with experimental results available in the literature. (C) 1999 John Wiley & Sons, Inc.