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dc.contributor.authorDașchievici, Luiza
dc.contributor.authorGhelase, Daniela
dc.date.accessioned2017-10-16T07:21:21Z
dc.date.available2017-10-16T07:21:21Z
dc.date.issued2011
dc.identifier.issn1224-5615
dc.identifier.urihttp://10.11.10.50/xmlui/handle/123456789/4509
dc.descriptionThe Annals of ''Dunarea de Jos'' University of Galati : Fascicle XIV : MECHANICAL ENGINEERING, ISSN 1224 - 5615ro_RO
dc.description.abstractReinforcement learning (RL) has received some attention in recent years from researchers, because it deals with the problem of how an autonomous manufacturing system can learn to select proper actions for achieving its goals through interacting with its environment. Although there have been several successful examples demonstrating the usefulness of RL, its application to business integrated manufacturing has not been fully explored yet. The interaction between the economic environment and the manufacturing system is a major source of knowledge about the economic environment and the manufacturing system themselves.ro_RO
dc.language.isoenro_RO
dc.publisherUniversitatea "Dunărea de Jos" din Galațiro_RO
dc.subjectmanufacturing systemro_RO
dc.subjectcompetitivenessro_RO
dc.subjectonline learningro_RO
dc.titleThe Role of Reinforcement Learning Business Integrated Manufacturingro_RO
dc.typeArticlero_RO


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