Adaptive neuro-fuzzy inference system for computing the physical dimensions of electrically thin and thick rectangular microstrip antennas

Guney, Kerim; Sarikaya, NURCAN

doi:10.1007/s10762-006-9070-2

Adaptive neuro-fuzzy inference system for computing the physical dimensions of electrically thin and thick rectangular microstrip antennas

Atıf İçin Kopyala

Guney K., Sarikaya N.

INTERNATIONAL JOURNAL OF INFRARED AND MILLIMETER WAVES, cilt.27, sa.2, ss.219-233, 2006 (SCI-Expanded)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 27 Sayı: 2
Basım Tarihi: 2006
Doi Numarası: 10.1007/s10762-006-9070-2
Dergi Adı: INTERNATIONAL JOURNAL OF INFRARED AND MILLIMETER WAVES
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.219-233
Erciyes Üniversitesi Adresli: Evet

Özet

A new method for calculating the patch length and width of rectangular microstrip antennas (MSAs) with thin and thick substrates, based on adaptive neuro-fuzzy inference system (ANFIS), is presented. The ANFIS is a class of adaptive networks which are functionally equivalent to fuzzy inference systems (FISs). It combines the powerful features of FISs with those of artificial neural networks (ANNs) to achieve a desired performance. The results of ANFIS are in excellent agreement with the experimental results available in the literature.