A hybrid method based on combining artificial neural network and fuzzy inference system for simultaneous computation of resonant frequencies of rectangular, circular, and triangular microstrip antennas

Guney, Kerim; Sarikaya, NURCAN

doi:10.1109/tap.2007.891566

A hybrid method based on combining artificial neural network and fuzzy inference system for simultaneous computation of resonant frequencies of rectangular, circular, and triangular microstrip antennas

Atıf İçin Kopyala

Guney K., Sarikaya N.

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, cilt.55, sa.3, ss.659-668, 2007 (SCI-Expanded)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 55 Sayı: 3
Basım Tarihi: 2007
Doi Numarası: 10.1109/tap.2007.891566
Dergi Adı: IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.659-668
Erciyes Üniversitesi Adresli: Evet

Özet

A hybrid method based on a combination of artificial neural network (ANN) and fuzzy inference system (FIS) is presented to calculate simultaneously the resonant frequencies of various microstrip antennas (MSAs) of regular geometries. The ANN is trained with the Bayesian regulation algorithm. An algorithm that integrates least square method and backpropagation algorithm is used to identify the parameters of FIS. The resonant frequency results of the proposed hybrid method for the rectangular, circular, and triangular MSAs are in very good agreement with the experimental results available in the literature.