Tunnel-based artificial neural network technique to calculate the resonant frequency of a thick-substrate microstrip antenna

The mathematical formulation of empirically developed formulas for the calculation of the resonant frequency of a thick‐substrate (h ≥ 0.08151λ0) microstrip antenna has been analyzed. With the use of tunnel‐based artificial neural networks (ANNs), the resonant frequency of antennas with h satisfying...

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Published in:Microwave and optical technology letters 2002-09, Vol.34 (6), p.460-462
Main Authors: Pattnaik, Shyam S., Panda, Dhruba C., Devi, S.
Format: Article
Language:English
Subjects:
artificial neural networks
electrically thick substrate
microstrip antenna
resonant frequency
tunneling
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description The mathematical formulation of empirically developed formulas for the calculation of the resonant frequency of a thick‐substrate (h ≥ 0.08151λ0) microstrip antenna has been analyzed. With the use of tunnel‐based artificial neural networks (ANNs), the resonant frequency of antennas with h satisfying the thick‐substrate condition are calculated and compared with the existing experimental results and also with the simulation results obtained with the use of an IE3D software package. The artificial neural network results are in very good agreement with the experimental results. © 2002 Wiley Periodicals, Inc. Microwave Opt Technol Lett 34: 460–462, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.10495
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subjects artificial neural networks
electrically thick substrate
microstrip antenna
resonant frequency
tunneling
title Tunnel-based artificial neural network technique to calculate the resonant frequency of a thick-substrate microstrip antenna
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