Published by Elsevier, 2020
ISBN 10: 0128193654 ISBN 13: 9780128193655
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Published by Elsevier, 2020
ISBN 10: 0128193654 ISBN 13: 9780128193655
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Published by Elsevier, 2020
ISBN 10: 0128193654 ISBN 13: 9780128193655
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Published by Elsevier, 2020
ISBN 10: 0128193654 ISBN 13: 9780128193655
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Published by Elsevier, 2020
ISBN 10: 0128193654 ISBN 13: 9780128193655
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Published by Elsevier Science Ltd, 2020
ISBN 10: 0128193654 ISBN 13: 9780128193655
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Published by Elsevier Elsevier Science & Technology, 2020
ISBN 10: 0128193654 ISBN 13: 9780128193655
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the advantages of univariate and traditional multivariate techniques to enhance their performance and widen their practical applicability. The book proceeds with merging the desirable properties of shallow learning approaches - such as a one-class support vector machine and k-nearest neighbours and unsupervised deep learning approaches - to develop more sophisticated and efficient monitoring techniques. Finally, the developed approaches are applied to monitor many processes, such as waste-water treatment plants, detection of obstacles in driving environments for autonomous robots and vehicles, robot swarm, chemical processes (continuous stirred tank reactor, plug flow rector, and distillation columns), ozone pollution, road traffic congestion, and solar photovoltaic systems. Englisch.
Published by Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128193654 ISBN 13: 9780128193655
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Published by Elsevier, 2020
ISBN 10: 0128193654 ISBN 13: 9780128193655
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Published by Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128193654 ISBN 13: 9780128193655
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Published by Elsevier Science & Technology|Elsevier, 2020
ISBN 10: 0128193654 ISBN 13: 9780128193655
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the advantages of univariate and traditional multivariate techniques to enhance their performance .
Published by Elsevier, 2020
ISBN 10: 0128193654 ISBN 13: 9780128193655
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Published by Elsevier, 2020
ISBN 10: 0128193654 ISBN 13: 9780128193655
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Published by Elsevier Science & Technology, Elsevier, 2020
ISBN 10: 0128193654 ISBN 13: 9780128193655
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the advantages of univariate and traditional multivariate techniques to enhance their performance and widen their practical applicability. The book proceeds with merging the desirable properties of shallow learning approaches - such as a one-class support vector machine and k-nearest neighbours and unsupervised deep learning approaches - to develop more sophisticated and efficient monitoring techniques. Finally, the developed approaches are applied to monitor many processes, such as waste-water treatment plants, detection of obstacles in driving environments for autonomous robots and vehicles, robot swarm, chemical processes (continuous stirred tank reactor, plug flow rector, and distillation columns), ozone pollution, road traffic congestion, and solar photovoltaic systems.
Published by Elsevier, 2020
ISBN 10: 0128193654 ISBN 13: 9780128193655
Seller: GreatBookPricesUK, Castle Donington, DERBY, United Kingdom
Condition: As New. Unread book in perfect condition.
Published by Elsevier, 2020
ISBN 10: 0128193654 ISBN 13: 9780128193655
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