@proceedings {63221,
	title = {ANN modeling of an industrial gas sensor behavior},
	journal = {2018 International Conference on Communications and Electrical Engineering (ICCEE)},
	year = {2018},
	month = {2019},
	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 = {10.1109/CCEE.2018.8634510},
	author = {KOUDA Souhil and BENDIB Toufik and Barra Samir and Dendouga Abdelghani}
}
