<?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%">Sonia, Benaicha</style></author><author><style face="normal" font="default" size="100%">Zermane, Hannane</style></author><author><style face="normal" font="default" size="100%">Mouss, Leila-Hayet</style></author><author><style face="normal" font="default" size="100%">Bencherif, Fateh</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of an Industrial Application with Neuro-Fuzzy Systems</style></title><secondary-title><style face="normal" font="default" size="100%">INTERNATIONAL JOURNAL OF FUZZY SYSTEMS and ADVANCED APPLICATIONS</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.naun.org/main/NAUN/fuzzy/2021/a062017-003(2021).pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">8</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this paper, our objective is dedicated to the detection of a deterioration in the estimated operating time by giving preventive action before a failure, and the classification of breakdowns after failure by giving the action of the diagnosis and / or maintenance. For this reason, we propose a new Neuro-fuzzy assistance prognosis system based on pattern recognition called &quot;NFPROG&quot; (Neuro Fuzzy Prognosis). NFPROG is an interactive simulation software, developed within the Laboratory of Automation and Production (LAP) -University of Batna, Algeria. It is a four-layer fuzzy preceptor whose architecture is based on Elman neural networks. This system is applied to the cement manufacturing process (cooking process) to the cement manufacturing company of Ain-Touta-Batna, Algeria. And since this company has an installation and configuration S7-400 of Siemens PLC PCS7was chosen as a programming language platform for our system.</style></abstract></record></records></xml>