An accurate computation method based on artificial neural networks with different learning algorithms for resonant frequency of annular ring microstrip antennas-Reference-Cited by-同舟云学术

An accurate computation method based on artificial neural networks with different learning algorithms for resonant frequency of annular ring microstrip antennas

Published:2014-09-23 Issue:4 Volume:13 Page:1014-1019
ISSN:1569-8025
Container-title:Journal of Computational Electronics
language:en
Short-container-title:J Comput Electron

Author:

Akdagli Ali,Kayabasi Ahmet

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Modeling and Simulation,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

http://link.springer.com/content/pdf/10.1007/s10825-014-0624-6.pdf

Reference37 articles.

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2. Kumar, G., Ray, K.P.: Broadband Microstrip Antennas. Artech House, Norwood (2003)

3. Deshmukh, A.A., Kumar, G.: Formulation of resonant frequency for compact rectangular microstrip antennas. Microw. Opt. Technol. Lett. 49(2), 498–501 (2007)

4. Deshmukh, A.A., Phatak, N.V., Nagarbovdi, S., Ahuja, R.: Analysis of broadband E-shaped microstrip antennas. Int. J. Comput. Appl. 80(7), 0975–8887 (2013)

5. Akdagli, A., Toktas, A., Kayabasi, A., Develi, I.: An application of artificial neural network to compute the resonant frequency of E-shaped compact microstrip antennas. J. Electr. Eng-Elektrotech. Cas. 64(5), 317–322 (2013)

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