Input impedance of rectangular microstrip patch antenna using artificial neural networks

A new method of using artificial neural networks (ANNs) for the calculation of the input impedance of rectangular microstrip patch antennas has been adopted in this paper. The results obtained using ANNs are compared with the experimental findings, theoretical values, and with the simulation results...

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Bibliographic Details
Published in:Microwave and optical technology letters 2002-03, Vol.32 (5), p.381-383
Main Authors: Pattnaik, Shyam S., Panda, Dhruba C., Devi, S.
Format: Article
Language:English
Subjects:
artificial neural networks
input impedance
rectangular microstrip antenna
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Summary:A new method of using artificial neural networks (ANNs) for the calculation of the input impedance of rectangular microstrip patch antennas has been adopted in this paper. The results obtained using ANNs are compared with the experimental findings, theoretical values, and with the simulation results obtained using an IE3D package. The ANNs result are more in agreement with experimental findings. © 2002 John Wiley & Sons, Inc. Microwave Opt Technol Lett 32: 381–383, 2002.
ISSN:0895-2477
1098-2760
DOI:10.1002/mop.10184