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ISBN 10: 1799836258 ISBN 13: 9781799836254
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Published by Engineering Science Reference, 2021
ISBN 10: 179983624X ISBN 13: 9781799836247
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Published by Engineering Science Reference, 2021
ISBN 10: 179983624X ISBN 13: 9781799836247
Language: English
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Published by Engineering Science Reference, 2021
ISBN 10: 179983624X ISBN 13: 9781799836247
Language: English
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Published by Engineering Science Reference, 2021
ISBN 10: 179983624X ISBN 13: 9781799836247
Language: English
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Published by Engineering Science Reference, 2021
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Language: English
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Language: English
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Published by Engineering Science Reference, 2021
ISBN 10: 1799836258 ISBN 13: 9781799836254
Language: English
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents innovative research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field. The book is for anyone interested in current research on intelligence-based machining processes in toda.
Published by Engineering Science Reference, 2021
ISBN 10: 1799836258 ISBN 13: 9781799836254
Language: English
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Machine Learning Applications in Non-Conventional Machining Processes | Goutam Kumar Bose (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | Engineering Science Reference | EAN 9781799836254 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Published by Engineering Science Reference, 2021
ISBN 10: 179983624X ISBN 13: 9781799836247
Language: English
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents innovative research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field. The book is for anyone interested in current research on intelligence-based machining processes in toda.
Published by Engineering Science Reference, 2021
ISBN 10: 1799836258 ISBN 13: 9781799836254
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'This book is a collection of research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field'.
Published by Engineering Science Reference, 2021
ISBN 10: 179983624X ISBN 13: 9781799836247
Language: English
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Machine Learning Applications in Non-Conventional Machining Processes | Goutam Kumar Bose (u. a.) | Buch | Gebunden | Englisch | 2021 | Engineering Science Reference | EAN 9781799836247 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Published by Engineering Science Reference, 2021
ISBN 10: 179983624X ISBN 13: 9781799836247
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Traditional machining has many limitations in today's technology-driven world, which has caused industrial professionals to begin implementing various optimization techniques within their machining processes. The application of methods including machine learning and genetic algorithms has recently transformed the manufacturing industry and created countless opportunities in non-traditional machining methods. Significant research in this area, however, is still considerably lacking. Machine Learning Applications in Non-Conventional Machining Processes is a collection of innovative research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field. While highlighting topics including evolutionary algorithms, micro-machining, and artificial neural networks, this book is ideally designed for researchers, academicians, engineers, managers, developers, practitioners, industrialists, and students seeking current research on intelligence-based machining processes in today's technology-driven market.