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2008-04-03

Adaptive Neuro-Fuzzy Models for Conventional Coplanar Waveguides

By Mustafa Turkmen, Sabri Kaya, Celal Yildiz, and Kerim Guney
Progress In Electromagnetics Research B, Vol. 6, 93-107, 2008
doi:10.2528/PIERB08031208

Abstract

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.

Citation


Mustafa Turkmen, Sabri Kaya, Celal Yildiz, and Kerim Guney, "Adaptive Neuro-Fuzzy Models for Conventional Coplanar Waveguides," Progress In Electromagnetics Research B, Vol. 6, 93-107, 2008.
doi:10.2528/PIERB08031208
http://jpier.org/PIERB/pier.php?paper=08031208

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