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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2007-12-08
Quasi-Static Models Based on Artificial Neural Neworks for Calculating the Characteristic Parameters of Multilayer Cylindrical Coplanar Waveguide and Strip Line
By
Celal Yildiz,

    Dr. Celal Yildiz

    Department of Electronic Engineering

    Erciyes University

    Turkey

    Homepage

Mustafa Turkmen

    Prof. Mustafa Turkmen

    Department of Electrical and Computer Engineering

    Boston University

    USA

    Homepage

Progress In Electromagnetics Research B, Vol. 3, 1-22, 2008
doi:10.2528/PIERB07112806 | Google Scholar

Abstract
In this paper, two different neural models are proposed for calculating the quasi-static parameters of multilayer cylindrical coplanar waveguides and strip lines. These models were basically developed by training the artificial neural networks with the numerical results of quasi-static analysis. Neural models were trained with four different learning algorithms to obtain better performance and faster convergence with simpler structure. When the performances of neural models are compared with each other, the best test results are obtained from the multilayered perceptrons trained by the Levenberg- Marquardt algorithm. The results obtained from the neural models are in very good agreements with the theoretical results available in the literature.
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Citation
Celal Yildiz, and Mustafa Turkmen, "Quasi-Static Models Based on Artificial Neural Neworks for Calculating the Characteristic Parameters of Multilayer Cylindrical Coplanar Waveguide and Strip Line," Progress In Electromagnetics Research B, Vol. 3, 1-22, 2008.
doi:10.2528/PIERB07112806
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