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Design of Sierpinski Carpet Fractal Antenna using Artificial Neural Networks

International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 68 - Number 8
Year of Publication: 2013
Jagtar Singh Sivia
Amarpartap Singh
Tara Singh Kamal

Jagtar Singh Sivia, Amarpartap Singh and Tara Singh Kamal. Article: Design of Sierpinski Carpet Fractal Antenna using Artificial Neural Networks. International Journal of Computer Applications 68(8):5-10, April 2013. Full text available. BibTeX

	author = {Jagtar Singh Sivia and Amarpartap Singh and Tara Singh Kamal},
	title = {Article: Design of Sierpinski Carpet Fractal Antenna using Artificial Neural Networks},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {68},
	number = {8},
	pages = {5-10},
	month = {April},
	note = {Full text available}


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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