Development of Knowledge Based Response Correction for a Reconfigurable N-Shaped Microstrip Antenna Design

Aoad A., Simsek M., AYDIN Z.

IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, Ottawa, Kanada, 11 - 14 Ağustos 2015 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Ottawa
  • Basıldığı Ülke: Kanada
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

This study presents the use of prior knowledge of inverse artificial neural network (ANN) to model and optimize a reconfigurable N-shaped microstrip antenna. Three accurate prior knowledge inverse ANNs with large amount training data are proposed where the frequency information is incorporated into the structure of ANN. The complexity of the input/output relationship is reduced by using prior knowledge. Three separate methods of incorporating knowledge in the second step of the training process with a multilayer perceptron (MEP) in the first step are demonstrated and their results are compared to EM simulation.