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Published by Engineering Science Reference, 2019
ISBN 10: 1799803015 ISBN 13: 9781799803010
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Published by Engineering Science Reference, 2019
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Published by Engineering Science Reference, 2019
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Published by Engineering Science Reference, 2019
ISBN 10: 1799803015 ISBN 13: 9781799803010
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnIn today s developing world, industries are constantly required to improve and advance. New approaches are being implemented to determine optimum values and solutions for models such as artificial intelligence and machine learning.
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Published by Engineering Science Reference, 2019
ISBN 10: 1799803015 ISBN 13: 9781799803010
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Buch. Condition: Neu. Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering | Gebrail Bekda¿ (u. a.) | Buch | Gebunden | Englisch | 2019 | Engineering Science Reference | EAN 9781799803010 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Engineering Science Reference, 2019
ISBN 10: 1799803015 ISBN 13: 9781799803010
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's developing world, industries are constantly required to improve and advance. New approaches are being implemented to determine optimum values and solutions for models such as artificial intelligence and machine learning. Research is a necessity for determining how these recent methods are being applied within the engineering field and what effective solutions they are providing. Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering is a collection of innovative research on the methods and implementation of machine learning and AI in multiple facets of engineering. While highlighting topics including control devices, geotechnology, and artificial neural networks, this book is ideally designed for engineers, academicians, researchers, practitioners, and students seeking current research on solving engineering problems using smart technology.