Support Vector Design of the Microstrip Antenna

Tokan N., Guenes F.

IEEE 16th Signal Processing and Communications Applications Conference, Aydın, Türkiye, 20 - 22 Nisan 2008, ss.725-728 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2008.4632716
  • Basıldığı Şehir: Aydın
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.725-728
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

In this work Support Vector Machine (SVM) formulation based upon "N" measured data is worked out for the resonant frequency, operation bandwidth, input impedance of a rectangular microstrip antenna. Results of the formulation are compared with the theoretical results obtained in literature, much better characterisation is observed with greater accuracy. At the same time, Artificial Neural Network (ANN) is employed in generalization of the data on the resonant frequency, operation bandwidth, input impedance of the antenna. Performances of the two advanced nonlinear learning machines are compared and superiority of the SVM is verified