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, Türkiye, 30 Kasım - 02 Aralık 2017, ss.1022-1026 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Bursa
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1022-1026
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

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.