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Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning

Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning

Paperback

Series: Springer Theses

Business GeneralTechnology & EngineeringGeneral Computers

ISBN10: 3319386980
ISBN13: 9783319386980
Publisher: Springer
Published: Oct 17 2016
Pages: 272
Weight: 0.91
Height: 0.61 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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