Sprache: Englisch
Verlag: Karlsruher Institut Für Technologie, 2024
ISBN 10: 3731513528 ISBN 13: 9783731513520
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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.
Sprache: Englisch
Verlag: Karlsruher Institut für Technologie, 2024
ISBN 10: 3731513528 ISBN 13: 9783731513520
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: 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.
Sprache: Englisch
Verlag: Karlsruher Institut Für Technologie Jul 2024, 2024
ISBN 10: 3731513528 ISBN 13: 9783731513520
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 278 pp. Englisch.
Sprache: Englisch
Verlag: Karlsruher Institut Für Technologie Jul 2024, 2024
ISBN 10: 3731513528 ISBN 13: 9783731513520
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: 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.