Comparison of adaptive-network-based fuzzy inference systems for bandwidth calculation of rectangular microstrip antennas

Guney K., Sarikaya N.

EXPERT SYSTEMS WITH APPLICATIONS, cilt.36, sa.2, ss.3522-3535, 2009 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 36 Sayı: 2
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1016/j.eswa.2008.02.008
  • Dergi Adı: EXPERT SYSTEMS WITH APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.3522-3535
  • Erciyes Üniversitesi Adresli: Evet

Özet

This paper presents a method based on adaptive-network-based fuzzy inference system (ANFIS) to compute the bandwidth of a rectangular microstrip antenna (MSA). Seven optimization algorithms, least-squares, Nelder-Mead, genetic, differential evolution, hybrid learning, particle swarm, and simulated annealing are used to determine optimally the design parameters of the ANFIS. The results of the ANFIS models show better agreement with the experimental results as compared to the results of previous methods available in the literature. When the performances of ANFIS models are compared with each other, the best result is obtained from the ANFIS model trained by the least-squares algorithm. (C) 2008 Elsevier Ltd. All rights reserved.