## Abstract The original article to which this erratum refers was published in __Microwave and Optical Technology Letters__Microwave Opt Technol Lett(2006) 48(11) 2197
An efficient neural network model for the input resonant resistance of coaxial fed rectangular microstrip antennas with thin and thick substrates
✍ Scribed by Serkan Şimşek
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 190 KB
- Volume
- 48
- Category
- Article
- ISSN
- 0895-2477
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✦ Synopsis
Abstract
In this paper, an efficient neural network model is suggested to determine the input resonant resistance of coaxial fed rectangular microstrip antennas (MSAs) with thin and thick substrates. The NN results are in good agreement with experimental results reported in literature. This method can easily be modified to address problems involving more general types of MSAs. © 2006 Wiley Periodicals, Inc. Microwave Opt Technol Lett 48: 2197–2199, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.21908
📜 SIMILAR VOLUMES
Seueral formulas based on the cauity model and the transmission-line model are combined to produce closed-form expressions for calculating the input resonant resistance of probe-fed rectangular microstrip antenna elements with thick substrates. These apressions take into account the patch and substr