A primer on machine learning applications in civil engineering / Paresh Chandra Deka.
| Author/creator | Deka, Paresh Chandra |
| Format | Electronic |
| Publication Info | Boca Raton : CRC Press, Taylor & Francis Group, [2020] |
| Description | xxi, 258 pages : illustrations ; 25 cm |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Abstract | "Machine Learning has undergone rapid growth in diversification and practicality, and repertoire of these techniques has evolved and expanded. The aim of this book is to provide a broad overview of the available machine learning techniques which can be utilized for solving civil engineering problems. Fundamentals of both theoretical and practical aspects are discussed in the domains of Water Resources/Hydrological Modelling, Geotechnical Engineering, Construction Engineering and Management, Coastal/Marine Engineering. Complex civil engineering problems such as drought forecasting, river flow forecasting, precipitation forecasting, and significant wave height forecasting are included"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2019032902 |
| ISBN | 9781138323391 (hardback) |
| ISBN | (ebook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |