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


Guney K. , Sarikaya N.

EXPERT SYSTEMS WITH APPLICATIONS, vol.36, no.2, pp.3522-3535, 2009 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 36 Issue: 2
  • Publication Date: 2009
  • Doi Number: 10.1016/j.eswa.2008.02.008
  • Title of Journal : EXPERT SYSTEMS WITH APPLICATIONS
  • Page Numbers: pp.3522-3535

Abstract

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.