Published by Taylor & Francis Group, 2019
ISBN 10: 113832339X ISBN 13: 9781138323391
Language: English
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Published by Taylor & Francis Group, 2019
ISBN 10: 113832339X ISBN 13: 9781138323391
Language: English
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Published by Taylor & Francis Ltd, 2019
ISBN 10: 113832339X ISBN 13: 9781138323391
Language: English
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Published by Taylor & Francis Group, 2019
ISBN 10: 113832339X ISBN 13: 9781138323391
Language: English
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Add to basketHardcover. Condition: Brand New. 258 pages. 9.25x6.00x0.75 inches. In Stock.
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Add to basketBuch. Condition: Neu. Neuware - Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded. The aim of this book is to provide a broad overview of the available machine-learning techniques that can be utilized for solving civil engineering problems. The fundamentals of both theoretical and practical aspects are discussed in the domains of water resources/hydrological modeling, geotechnical engineering, construction engineering and management, and coastal/marine engineering. Complex civil engineering problems such as drought forecasting, river flow forecasting, modeling evaporation, estimation of dew point temperature, modeling compressive strength of concrete, ground water level forecasting, and significant wave height forecasting are also included.
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Published by Taylor & Francis Ltd, 2019
ISBN 10: 113832339X ISBN 13: 9781138323391
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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