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RE1939M
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A simple design to compute accurate resonant frequencies of circular microstrip antennas using artificial neural networks. (ANN) is proposed. ANN model is developed to calculate the antenna dimensions for the given resonant frequency, dielectric constant and height of substrate. ANN is designed using radial basis function networks. The results show better agreement with the trained and tested data of ANN models. The results are verified by the experimental results to produce accurate ANN models. This presents ANN model practically as an alternative method to the detailed electromagnetic design of circular microstrip antenna. We have also used a simulator to validate the present model.
Dr. Sami Bedra. 2012. "Artificial Neural Network to Design of Circular Microstrip Antenna". Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 12 (GJRE Volume 12 Issue F10).
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
v1.2
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Total Score: 106
Country: Algeria
Subject: Global Journal of Research in Engineering
Authors: Dr. Sami Bedra (PhD/Dr. count: 1)
View Count (all-time): 567
Total Views (Real + Logic): 1212
Total Downloads (simulated): 101
Publish Date: 2012 03, Thu
Monthly Totals (Real + Logic):
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