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Design of Sierpinski Carpet Fractal Antenna using Artificial Neural Networks

by Jagtar Singh Sivia, Amarpartap Singh, Tara Singh Kamal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 8
Year of Publication: 2013
Authors: Jagtar Singh Sivia, Amarpartap Singh, Tara Singh Kamal
10.5120/11597-6955

Jagtar Singh Sivia, Amarpartap Singh, Tara Singh Kamal . Design of Sierpinski Carpet Fractal Antenna using Artificial Neural Networks. International Journal of Computer Applications. 68, 8 ( April 2013), 5-10. DOI=10.5120/11597-6955

@article{ 10.5120/11597-6955,
author = { Jagtar Singh Sivia, Amarpartap Singh, Tara Singh Kamal },
title = { Design of Sierpinski Carpet Fractal Antenna using Artificial Neural Networks },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 8 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 5-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number8/11597-6955/ },
doi = { 10.5120/11597-6955 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:27:15.273150+05:30
%A Jagtar Singh Sivia
%A Amarpartap Singh
%A Tara Singh Kamal
%T Design of Sierpinski Carpet Fractal Antenna using Artificial Neural Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 8
%P 5-10
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper deals with utilization of artificial neural networks for the design of Sierpinski carpet fractal antenna. The difficulty in designing of fractal microstrip patch antennas is due to the involvement of large number of physical parameters and hence their associated optimal values. It is indeed very difficult to formulate an exact numerical solution through empirical studies based on practical observations. In order to circumvent this problem, an alternative solution is achieved using artificial neural networks. The proposed technique used feed-forward back-propagation artificial neural network (FFBP-ANN) with one hidden layer to approximate neural model of this antenna. Sierpinski carpet fractal antenna is simulated using IE3D software. The investigation is done between the ranges of frequencies from 1 to 20Ghzs. The results obtained by using artificial neural networks are in agreement with simulated results.

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Index Terms

Computer Science
Information Sciences

Keywords

Fractal Carpet Artificial Neural Networks Sierpinski Antenna

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