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Please use this identifier to cite or link to this item:
http://purl.org/purl/1392
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| Title: | Tunnel-Based Artificial Neural Network Technique to Calculate the Resonant Frequency of a Thick-Substrate Microstrip Antenna |
| Authors: | Shyam S,Pattnaik
Dhruba C,Panda
Devi,S |
| Keywords: | Microstrip antenna
Electrically thick substarte
Artificial neural networks
Resonant frequency |
| Issue Date: | 20-Sep-2002 |
| Publisher: | Microwave and Optical Technology Letters |
| Abstract: | The mathematical formulation of empirically developed formulas Jirr the calculation of the resonant frequency of a thick-substrate
(h s 0.08151 A,,) microstrip antenna has been analyzed. With the
use qt' 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 |
| URI: | http://dyuthi.cusat.ac.in/purl/1392 |
| Appears in Collections: | Publications
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