Hanane ZermaneHayet MoussDjamel Touahar2024-05-302024-05-302020-02-23Hanane Zermane, Hayet Mouss, Djamel Touahar. Industrial Control System Based On Machine Learning SVM Algorithm. International PluridisciplinaryPhD Meeting (IPPM’20). 1st Edition, February23-26, 2020. University Of Eloued. [Visited in ../../….]. Available from [copy the link here].https://dspace.univ-eloued.dz/handle/123456789/32878InterventionMachine learning is one of the most prominent signs of evolution and a mark of the marks of civilization in this century, as the latter immersed in many areas of life, it contributes to the improvement in smarter and faster ways. The idea of this work is based on use of machine learning to create an industrial supervision system that controls automatically a factory on real time mode as an alternative for the operators as possible as it is available. This work comes to highlight the importance of this learning in the field of industry as the main nerve of the econ-omy of many countries. It depends on the use of one of the tools of machine learning, which is SVM technique in an attempt to create an automatic control program for industrial systems of SCIMAT Company for cement production.enIndustrial processSupervision systemMachine LearningSupport Vector Ma-chineClassificationRegressionIntervention