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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2009-07-03
Comparison of Adaptive-Network-Based Fuzzy Inference System Models for Analysis of Conductor-Backed Asymmetric Coplanar Waveguides
By
Mustafa Turkmen,

    Prof. Mustafa Turkmen

    Department of Electrical and Computer Engineering

    Boston University

    USA

    Homepage

Celal Yildiz,

    Dr. Celal Yildiz

    Department of Electronic Engineering

    Erciyes University

    Turkey

    Homepage

Kerim Guney,

    Professor Kerim Guney

    Faculty of Engineering

    Nuh Naci Yazgan University

    Turkey

    Homepage

Sabri Kaya

    Dr. Sabri Kaya

    Department of Electronic Engineering

    Erciyes University

    Turkey

    Homepage

Progress In Electromagnetics Research M, Vol. 8, 1-13, 2009
doi:10.2528/PIERM09050803 | Google Scholar

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.
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Citation
Mustafa Turkmen, Celal Yildiz, Kerim Guney, and Sabri Kaya, "Comparison of Adaptive-Network-Based Fuzzy Inference System Models for Analysis of Conductor-Backed Asymmetric Coplanar Waveguides," Progress In Electromagnetics Research M, Vol. 8, 1-13, 2009.
doi:10.2528/PIERM09050803
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