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Accurate modeling and optimization of microwave circuits and devices using adaptive neuro-fuzzy inference system

Published online by Cambridge University Press:  01 July 2011

Youssef Harkouss
Youssef Harkouss*
Affiliation:
Lebanese University-Faculty of Engineering-Branch III, P.O. Box 14, 6573, Al Hadath, Beirut, Lebanon. Phone: +961 3608734
*
Corresponding author: Y. Harkouss Email: [email protected]
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Abstract

In this paper, an accurate neuro-fuzzy-based model is proposed for efficient computer-aided design (CAD) modeling and optimization of microwave circuits and devices. The adaptive neuro-fuzzy inference system (ANFIS) approach is used to determine the scattering parameters of a microstrip filter and is applied to the optimization design of this microstrip filter. The ANFIS has the advantages of expert knowledge of fuzzy inference system and learning capability of artificial neural networks. The neuro-fuzzy model has been trained and tested with different sets of input/output data. Finally, different results, which confirm the validity of the proposed model, are reported.

Keywords

Adaptive neuro-fuzzy inference system (ANFIS)ModelingOptimizationMicrowave devicesMicrostripComputer-aided design (CAD)
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 3 , Issue 6 , December 2011 , pp. 637 - 645
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2011

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