An efficient neural network model for the input resonant resistance of coaxial fed rectangular microstrip antennas with thin and thick substrates


Simsek S.

MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, cilt.48, ss.2197-2199, 2006 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 48 Konu: 11
  • Basım Tarihi: 2006
  • Doi Numarası: 10.1002/mop.21908
  • Dergi Adı: MICROWAVE AND OPTICAL TECHNOLOGY LETTERS
  • Sayfa Sayıları: ss.2197-2199

Özet

In this paper, an efficient neural network model is suggested to determine the input resonant resistance of coaxial fed rectangular microstrip antennas (MSAs) with thin and thick substrates. The NN results are in good agreement with experimental results reported in literature. This method can easily be modified to address problems involving more general types of MSAs. (c) 2006 Wiley Periodicals, Inc.