Adaptive neuro-fuzzy models for conventional coplanar waveguides


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

Progress In Electromagnetics Research B, vol.6, pp.93-107, 2008 (Refereed Journals of Other Institutions) identifier

  • Publication Type: Article / Article
  • Volume: 6
  • Publication Date: 2008
  • Doi Number: 10.2528/pierb08031208
  • Title of Journal : Progress In Electromagnetics Research B
  • Page Numbers: pp.93-107

Abstract

© 2008, Electromagnetics Academy.In this work a new method based on the adaptive neuro-fuzzy inference system (ANFIS) was successfully introduced to determine the characteristic parameters, effective permittivities and characteristic impedances, of conventional coplanar waveguides. The ANFIS has the advantages of expert knowledge of fuzzy inference system and learning capability of neural networks. A hybrid-learning algorithm, which combines least-square method and backpropagation algorithm, is used to identify the parameters of ANFIS. There are very good agreement between the results of ANFIS models, experimental works, conformal mapping technique, spectral domain approach and a commercial electromagnetic simulator, MMICTL.