Lingua: Inglese
Editore: Karlsruher Institut Für Technologie, 2024
ISBN 10: 3731513528 ISBN 13: 9783731513520
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 45,00
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as material, production line, and quality assessment for preprocessing, feature extraction, and drift corrections. Machine learning is employed to devise robust prediction strategies for hardness. Its implementation in an industry pilot demonstrates the economic benefits of the framework.
Lingua: Inglese
Editore: Karlsruher Institut für Technologie, 2024
ISBN 10: 3731513528 ISBN 13: 9783731513520
Da: preigu, Osnabrück, Germania
EUR 45,00
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction | Yannick Lingelbach | Taschenbuch | Englisch | 2024 | Karlsruher Institut für Technologie | EAN 9783731513520 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Karlsruher Institut Für Technologie Jul 2024, 2024
ISBN 10: 3731513528 ISBN 13: 9783731513520
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 45,00
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 278 pp. Englisch.
Lingua: Inglese
Editore: Karlsruher Institut Für Technologie Jul 2024, 2024
ISBN 10: 3731513528 ISBN 13: 9783731513520
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 45,00
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as material, production line, and quality assessment for preprocessing, feature extraction, and drift corrections. Machine learning is employed to devise robust prediction strategies for hardness. Its implementation in an industry pilot demonstrates the economic benefits of the framework. 278 pp. Englisch.