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Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning
Hardcover
Series: Springer Theses
Business GeneralTechnology & EngineeringGeneral Computers
ISBN13: 9783319176109
Publisher: Springer
Published: May 4 2015
Pages: 272
Weight: 1.29
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English
Introduction.- Developments of manufacturing systems with a focus on product and process quality.- Current approaches with a focus on holistic information management in manufacturing.- Development of the product state concept.- Application of machine learning to identify state drivers.- Application of SVM to identify relevant state drivers.- Evaluation of the developed approach.- Recapitulation.
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Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning
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Wuest, Thorsten
Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning
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