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Fault Detection Isolation Industrial by Siva Kumar (7 results)
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Fault Detection and Isolation in Industrial Processes Based On RNN: Deep Learning Approach
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203927759 ISBN 13: 9786203927757
Language: English
Condition: New.
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Fault Detection and Isolation in Industrial Processes Based On RNN
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203927759 ISBN 13: 9786203927757
Language: English
US$ 41.68
Convert currencyUS$ 57.88 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Fault Detection and Isolation in Industrial Processes Based On RNN
Published by LAP LAMBERT Academic Publishing Jul 2021, 2021
ISBN 10: 6203927759 ISBN 13: 9786203927757
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 48.56
Convert currencyUS$ 70.89 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware -Deep Learning is a subset collection of Machine Learning concerned where neural network algorithms inspired by human brain learn from large amount of data through several layers for nonlinear transformation, Deep learning domain techniques allows to extract features automatically from the Industrial fault detection dataset. Since it has the strong learning ability that can improve the utilization of the dataset for the feature extraction. It determines Industrial Processes fault in the input data by simulating the way the human brain detects the fault in the industrial processes.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch.
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Fault Detection and Isolation in Industrial Processes Based On RNN: Deep Learning Approach
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203927759 ISBN 13: 9786203927757
Language: English
US$ 61.94
Convert currencyUS$ 8.79 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. Print on Demand.
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Fault Detection and Isolation in Industrial Processes Based On RNN
Published by LAP LAMBERT Academic Publishing Jul 2021, 2021
ISBN 10: 6203927759 ISBN 13: 9786203927757
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 48.56
Convert currencyUS$ 27.17 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Deep Learning is a subset collection of Machine Learning concerned where neural network algorithms inspired by human brain learn from large amount of data through several layers for nonlinear transformation, Deep learning domain techniques allows to extract features automatically from the Industrial fault detection dataset. Since it has the strong learning ability that can improve the utilization of the dataset for the feature extraction. It determines Industrial Processes fault in the input data by simulating the way the human brain detects the fault in the industrial processes. 64 pp. Englisch.
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Fault Detection and Isolation in Industrial Processes Based On RNN: Deep Learning Approach
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203927759 ISBN 13: 9786203927757
Language: English
US$ 69.45
Convert currencyUS$ 11.76 shipping from Germany to U.S.A.Quantity: 4 available
Add to basketCondition: New. PRINT ON DEMAND.
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Fault Detection and Isolation in Industrial Processes Based On RNN : Deep Learning Approach
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203927759 ISBN 13: 9786203927757
Language: English
US$ 49.76
Convert currencyUS$ 71.56 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep Learning is a subset collection of Machine Learning concerned where neural network algorithms inspired by human brain learn from large amount of data through several layers for nonlinear transformation, Deep learning domain techniques allows to extract features automatically from the Industrial fault detection dataset. Since it has the strong learning ability that can improve the utilization of the dataset for the feature extraction. It determines Industrial Processes fault in the input data by simulating the way the human brain detects the fault in the industrial processes.
