@conference {25311,
	title = {ANN modeling of an industrial gas sensor behavior},
	booktitle = {International conference on communications and electrical engineering},
	year = {2018},
	publisher = {IEEE},
	organization = {IEEE},
	address = { El Oued, Algeria},
	abstract = {In this paper, we propose the modeling of an industrial gas sensor {\textquotedblleft}MQ-9{\textquotedblright}, where our modeling is based on ANNs {\textquotedblleft}artificial neural networks The gas sensor model, obtained, operated under a dynamic environment and expresses accurately the MQ-9 gas sensor behavior. Accordingly, it takes into account the nonlinearity and the cross sensitivity in gas selectivity, temperature and humidity. This model is implemented into PSPICE {\textquotedblleft}performance simulation program with integrated circuit emphasis{\textquotedblright} simulator as an electrical circuit in order to prove the similarity of the analytical model output with that of the MQ-9 gas sensor.},
	url = {https://ieeexplore.ieee.org/document/8634510/},
	author = {Souhil KOUDA and Toufik BENDIB and Samir Barra and Abdelghani Dendouga}
}
