<?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%">Rezki Nafissa</style></author><author><style face="normal" font="default" size="100%">Kazar Okba</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author><author><style face="normal" font="default" size="100%">Kahloul Laid</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Hybrid Approach for Complex Industrial Process Monitoring, ISSN / e-ISSN &amp;lrm;1748-5045 / 1748-5045</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of scientific and industrial research </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/322694692_A_Hybrid_Approach_for_Complex_Industrial_Process_Monitoring</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol 76</style></volume><pages><style face="normal" font="default" size="100%"> pp. 608-613</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;span style=&quot;left:170px;top:421.259px;14.9716px;serif;transform:scaleX(1.0419);&quot;&gt;This study proposes a multi-agent system with several intelligences for complex industrial process monitoring. The &lt;/span&gt;&lt;span style=&quot;left:140px;top:438.459px;14.9716px;serif;transform:scaleX(1.00252);&quot;&gt;suggested multi-agent system combines a set of techniques which are: multivariate control charts, neural networks, and &lt;/span&gt;&lt;span style=&quot;left:140px;top:455.659px;14.9716px;serif;transform:scaleX(0.988533);&quot;&gt;Bayesian networks. The proposed approach has been evaluated on the TEP (Tennessee Eastman Process). The obtained results &lt;/span&gt;&lt;span style=&quot;left:140px;top:473.059px;14.9716px;serif;transform:scaleX(1.03085);&quot;&gt;have been compared with set of methods that were applied to the Tennessee Eastman Process in the literature; our system &lt;/span&gt;&lt;span style=&quot;left:140px;top:490.259px;14.9716px;serif;transform:scaleX(1.00142);&quot;&gt;performs better on the faults diagnosis.&lt;/span&gt;</style></abstract><issue><style face="normal" font="default" size="100%">issue 10</style></issue></record></records></xml>