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Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on mdpi.com as a courtesy and upon agreement with the previous journal publisher.
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Math. Comput. Appl. 1998, 3(1), 37-47; https://doi.org/10.3390/mca3010037

Neural Computing of the Bandwith of Resonant Rectangular Microstrip Antennas

1
Intelligent Systems Research Group, Erciyes University, Engineering Faculty,Control & Computer Engineering Department, 38039, Kayseri, Turkey
2
Intelligent Antenna Design Research Group, Erciyes University, Engineering Faculty, Electronic Engineering Faculty, 38039, Kayseri, Turkey
*
Author to whom correspondence should be addressed.
Published: 1 April 1998
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Abstract

A new method based on the backpropagation multilayered perceptron network for calculating the bandwidth of resonant rectangular microstrip patch antennas is presented The method can be used for a wide range of substrate thicknesses and permittivities, and is useful for the computer-aided design (CAD) of microstrip antennas. The results obtained by using this new method are in conformity with those reported elsewhere. This method may find wide applications in high-frequency printed antennas, especially at the millimeter-wave frequency range.
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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Sağıroğlu, Ş.; Güney, K.; Erler, M. Neural Computing of the Bandwith of Resonant Rectangular Microstrip Antennas. Math. Comput. Appl. 1998, 3, 37-47.

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