Genetic Based Approach to the Synthesis of a Cylindrical-Rectangular Microstrip Conformal Antenna Using Artificial Neural Network and Support Vector Regression Models

Yiğit M. E., Öke Günel G., Gunel T.

10th International Conference on Electrical and Electronics Engineering (ELECO), Bursa, Turkey, 30 November - 02 December 2017, pp.1022-1026 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Bursa
  • Country: Turkey
  • Page Numbers: pp.1022-1026
  • Istanbul Technical University Affiliated: Yes

Abstract

In this paper, a rectangular microstrip antenna which is conformed to a cylindrical surface is synthesized by using Genetic Algorithm (GA), Support Vector Regression (SVR) and Artificial Neural Networks (ANN). GA is used to obtain the desired resonant frequency via trained SVR and ANN models. The results obtained by SVR and ANN models are compared.