An efficient neural network model for the input resonant resistance of coaxial fed rectangular microstrip antennas with thin and thick substrates-Reference-Cited by-同舟云学术

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An efficient neural network model for the input resonant resistance of coaxial fed rectangular microstrip antennas with thin and thick substrates

Published:2006 Issue:11 Volume:48 Page:2197-2199
ISSN:0895-2477
Container-title:Microwave and Optical Technology Letters
language:en
Short-container-title:Microw. Opt. Technol. Lett.

Author:

Şimşek Serkan

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference24 articles.

1. , and , Microstrip antenna, theory and design, Peter Peregrinus, London, 1981.

2. and , Microstrip antennas, Artech House, Dedham, MA, 1980.

3. and (Eds.), Antenna engineering handbook, 2nd ed., McGraw-Hill, New York, 1984, Ch. 7.

4. Advances in e;Mosig,1982

5. IEE electroma;James,1989

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An optimized surrogate model using differential evolution algorithm for computing parameters of antennas;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2021-09-06

2. Serkan Şimşek, An efficient neural network model for the input resonant resistance of coaxial-fed rectangular microstrip antennas with thin and thick substrates,Microwave and Optical Technology Letters (2006) 48(11) 2197–2199;Microwave and Optical Technology Letters;2006

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