@proceedings {64469,
	title = {MLP and RBF symbol tracking with 16 QAM modulation over multipath distorted channel},
	journal = {2017 International Conference on Advanced Systems and Electric Technologies (IC_ASET)},
	year = {2017},
	month = {2017},
	pages = {182-187},
	publisher = {IEEE},
	isbn = {1-5090-6634-9},
	author = {Bouguerra, Fateh and Benacer, Imad and Saidi, Lamir}
}
@proceedings {64470,
	title = {MLP and RBF Symbol Tracking with 16 QAM Modulation Over Multipath Distorted Channel},
	journal = {International Conference on Advanced Systems and Electric Technologies (IC_ASET)},
	year = {2017},
	month = {2017},
	pages = {182-187},
	address = {Hammamet - Tunisia},
	abstract = {
	Multilayer Perceptron (MLP) and Radial Basis Function (RBF) were proposed in this paper as two models of non-linear ANN based equalization techniques in order to optimize processing performance, tracking, and minimize error of the channel effects and the ascending noise with 16 QAM Modulation, this work will be referenced with one of the most used linear adaptive equalization; Recursive least squares (RLS), as an evaluation. The two models will be compared in terms of efficiency and robustness facing noisy channel.

},
	url = {https://ieeexplore.ieee.org/abstract/document/7983688},
	author = {Bouguerra, Fateh and Benacer, Imad and Saidi, Lamir}
}
@article {65589,
	title = {Extracting parameters of OFET before and after threshold voltage using genetic algorithms},
	journal = {International Journal of Automation and ComputingInternational Journal of Automation and Computing},
	volume = {13},
	year = {2016},
	month = {2016},
	pages = {382-391},
	isbn = {1751-8520},
	author = {Benacer, Imad and Zohir Dibi}
}
@article {66402,
	title = {Modeling and simulation of organic field effect transistor (OFET) using artificial neural networks},
	journal = {International Journal of Advanced Science and TechnologyInternational Journal of Advanced Science and Technology},
	volume = {66},
	year = {2014},
	month = {2014},
	pages = {79-88},
	isbn = {2005-4238},
	author = {Benacer, Imad and Zohir Dibi}
}
