Artificial neural networks for the narrow aperture dimension calculation of optimum gain pyramidal horns


Guney K. , Sarikaya N.

ELECTRICAL ENGINEERING, cilt.86, ss.157-163, 2004 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 86 Konu: 3
  • Basım Tarihi: 2004
  • Doi Numarası: 10.1007/s00202-003-0197-z
  • Dergi Adı: ELECTRICAL ENGINEERING
  • Sayfa Sayıları: ss.157-163

Özet

A new method based on artificial neural networks for calculating the narrow aperture dimension of the pyramidal horn is presented. The Levenberg-Marquardt algorithm is used to train the networks. The narrow aperture dimension calculated using artificial neural networks is used in the optimum gain pyramidal horn design. The computed gains of the designed pyramidal horns are in very good agreement with the desired gains.