Adaptive neuro-fuzzy inference system for computing the physical dimensions of electrically thin and thick rectangular microstrip antennas
INTERNATIONAL JOURNAL OF INFRARED AND MILLIMETER WAVES, cilt.27, sa.2, ss.219-233, 2006 (SCI-Expanded, Scopus)
- 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.