Non-linear modeling of parabolic reflector: Neural network approach

Yilmaz A., Saka B.

ELECTROMAGNETICS, cilt.19, sa.2, ss.187-200, 1999 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 19 Sayı: 2
  • Basım Tarihi: 1999
  • Doi Numarası: 10.1080/02726349908908634
  • Dergi Adı: ELECTROMAGNETICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.187-200
  • Hacettepe Üniversitesi Adresli: Evet

Özet

In this paper, we present artifical neural network (ANN) models for the calculation of the focal region fields of a parabolic reflector and the estimation of the direction of arrival. We choose a feedforward NN architecture (specifically multilayer perceptrons (MLPs)) for their robust and massively interconnected structure. Simulated results achieved with these models show that the neural network approach is a promising alternative to the conventional methods for focal region calculations of the parabolic reflectors. This paper also represents the results obtained from a NN model trained for the estimation of the direction of arrival for the array-fed parabolic reflector.