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.
Math. Comput. Appl. 1998, 3(1), 37-47; https://doi.org/10.3390/mca3010037
Published: 1 April 1998
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.
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MDPI and ACS Style
Sağıroğlu, Ş.; Güney, K.; Erler, M. Neural Computing of the Bandwith of Resonant Rectangular Microstrip Antennas. Math. Comput. Appl. 1998, 3, 37-47. https://doi.org/10.3390/mca3010037
AMA Style
Sağıroğlu Ş, Güney K, Erler M. Neural Computing of the Bandwith of Resonant Rectangular Microstrip Antennas. Mathematical and Computational Applications. 1998; 3(1):37-47. https://doi.org/10.3390/mca3010037
Chicago/Turabian StyleSağıroğlu, Şeref, Kerim Güney, and Mehmet Erler. 1998. "Neural Computing of the Bandwith of Resonant Rectangular Microstrip Antennas" Mathematical and Computational Applications 3, no. 1: 37-47. https://doi.org/10.3390/mca3010037
