Comparison of adaptive-network-based fuzzy inference system models for analysis of conductor-backed asymmetric coplanar waveguides


TÜRKMEN M. , YILDIZ C. , GÜNEY K. , KAYA S.

Progress In Electromagnetics Research M, vol.8, pp.1-13, 2009 (Journal Indexed in SCI Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 8
  • Publication Date: 2009
  • Doi Number: 10.2528/pierm09050803
  • Title of Journal : Progress In Electromagnetics Research M
  • Page Numbers: pp.1-13

Abstract

A method based on adaptive-network-based fuzzy inference system (ANFIS) is presented for the analysis of conductor-backed asymmetric coplanar waveguides (CPWs). Four optimization algorithms, hybrid learning, simulated annealing, genetic, and least-squares, are used to determine optimally the design parameters of the ANFIS. The results of ANFIS models are compared with the results of conformal mapping technique, a commercial electromagnetic simulator IE3D, and the experimental works realized in this study. There is very good agreement among the results of ANFIS models, quasi-static method, IE3D, and experimental works. The proposed ANFIS models are not only valid for conductor-backed asymmetric CPWs but also valid for conductor-backed symmetric CPWs.