@proceedings {61486,
	title = {Design of rectangular microstrip antenna with rectangular aperture in the ground plane using artificial neural networks},
	journal = {ICIT 2015 The 7th International Conference on Information Technology },
	year = {2015},
	abstract = {
	In this paper, we propose a general design of rectangular microstrip antenna with and without rectangular aperture over ground plane, based on artificial neural networks (ANN) in conjunction with spectral domain formulation. In the design procedure, syntheses ANN model is used as feed forward network to determine the resonant frequency and bandwidth. Analysis ANN model is used as the reversed of the problem to calculate the antenna and aperture dimensions for the given resonant frequency, dielectric constant and height of substrate. The spectral domain formulation combined with artificial neural network in the analysis and the design of rectangular antenna to reduce the complexity of the spectral approach and to minimize the CPU time necessary to obtain the numerical results. The results obtained from the neural models are in very good agreement with the experimental results available in the literature.

},
	url = {http://icit.zuj.edu.jo/icit15/DOI/Artificial_Intelligence/0010.pdf},
	author = {BENKOUDA, Siham and FORTAKI, Tarek and BEDRA, Sami and Belhedri, Abdelkrim}
}
@proceedings {61558,
	title = {Particle swarm optimization and method of moments for modeling and optimization of microstrip antennas},
	year = {2015},
	author = {FORTAKI, Tarek and Amir, Mounir and BENKOUDA, Siham and Belhedri, Abdelkrim}
}
