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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.
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Machine Learning Applications in Non-conventional Machining Processes (Advances in Computational Intelligence and Robotics, 1)
Editore:
Engineering Science Reference, 2021
ISBN 10: 179983624X
ISBN 13: 9781799836247
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Machine Learning Applications in Non-conventional Machining Processes
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Engineering Science Reference, 2021
ISBN 10: 179983624X
ISBN 13: 9781799836247
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Machine Learning Applications in Non-conventional Machining Processes (Advances in Computational Intelligence and Robotics, 1)
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Engineering Science Reference, 2021
ISBN 10: 179983624X
ISBN 13: 9781799836247
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Machine Learning Applications in Non-Conventional Machining Processes
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Machine Learning Applications in Non-conventional Machining Processes
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Engineering Science Reference, 2021
ISBN 10: 179983624X
ISBN 13: 9781799836247
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HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L1-9781799836247
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Machine Learning Applications in Non-conventional Machining Processes
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Engineering Science Reference, 2021
ISBN 10: 179983624X
ISBN 13: 9781799836247
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Machine Learning Applications in Non-conventional Machining Processes
Editore:
Engineering Science Reference, 2021
ISBN 10: 179983624X
ISBN 13: 9781799836247
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Machine Learning Applications in Non-Conventional Machining Processes
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Engineering Science Reference, 2021
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ISBN 13: 9781799836247
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Condizione: 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. Codice articolo 469188485
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Machine Learning Applications in Non-Conventional Machining Processes
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Engineering Science Reference, 2021
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ISBN 13: 9781799836247
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Buch. Condizione: 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. Codice articolo 9781799836247
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