<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kouda, S.</style></author><author><style face="normal" font="default" size="100%">Dendouga Abdelghani</style></author><author><style face="normal" font="default" size="100%">Barra, S.</style></author><author><style face="normal" font="default" size="100%">T. Bendib</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Design of a Selective Smart Gas Sensor Based on ANN-FL Hybrid Modeling, ISSN e-ISSN 2077-6772 / 2306-4277</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Nano- and Electronic PhysicsJournal of Nano- and Electronic Physics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2018</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">issue 6</style></number><volume><style face="normal" font="default" size="100%">volume 10</style></volume><pages><style face="normal" font="default" size="100%">pp 06011-06016</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The selectivity is one of the main challenges to develop a gas sensor, the good chemical species detection in a gaseous mixture decreasing the missed detections. The present paper proposes a new solution for gas sensor selectivity based on artificial neural networks (ANNs) and fuzzy logic (FL) algorithm. We first use ANNs to develop a gas sensor model in order to accurately express its behavior. In a second step, the FL and Matlab environment are used to create a database for a selective model, where the response of this one only depends on one chemical species. Analytical models for the gas sensor and its selective model are implemented into a Performance Simulation Program with Integrated Circuit Emphasis (PSPICE) simulator as an electrical circuit in order to prove the similarity of the analytical model output with that of the MQ-9 gas sensor where the output of the selective model only depends on one gas. Our results indicate the capability of the ANN-FL hybrid modeling for an accurate sensing analysis.</style></abstract></record></records></xml>