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, Canada, 11 - 14 August 2015 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Ottawa
  • Country: Canada
  • Istanbul Technical University Affiliated: Yes

Abstract

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.