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


Guney K. , Sarikaya N.

INTERNATIONAL JOURNAL OF INFRARED AND MILLIMETER WAVES, cilt.27, ss.219-233, 2006 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 27 Konu: 2
  • Basım Tarihi: 2006
  • Doi Numarası: 10.1007/s10762-006-9070-2
  • Dergi Adı: INTERNATIONAL JOURNAL OF INFRARED AND MILLIMETER WAVES
  • Sayfa Sayıları: ss.219-233

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.