A Primer on Machine Learning Applications in Civil Engineering
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. Th...
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| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Milton :
CRC Press LLC,
2019.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9780429836664 042983666X 9780429451423 0429451423 9780429836657 0429836651 9780429836640 0429836643 113832339X 9781138323391 1523146907 9781523146901 |
| Physical Description | 1 online resource (281 pages) |
Cover
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| 020 | |z 9781138323391 | ||
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| 100 | 1 | |a Deka, Paresh Chandra. | |
| 245 | 1 | 2 | |a A Primer on Machine Learning Applications in Civil Engineering |
| 260 | |a Milton : |b CRC Press LLC, |c 2019. | ||
| 300 | |a 1 online resource (281 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 520 | |a 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. Features Exclusive information on machine learning and data analytics applications with respect to civil engineering Includes many machine learning techniques in numerous civil engineering disciplines Provides ideas on how and where to apply machine learning techniques for problem solving Covers water resources and hydrological modeling, geotechnical engineering, construction engineering and management, coastal and marine engineering, and geographical information systems Includes MATLAB exercises | ||
| 504 | |a Includes bibliographical references. | ||
| 590 | |a Knovel |b Knovel (All titles) | ||
| 650 | 0 | |a Civil engineering. | |
| 650 | 0 | |a Machine learning. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 776 | 0 | 8 | |i Print version: |a Deka, Paresh Chandra. |t A Primer on Machine Learning Applications in Civil Engineering. |d Milton : CRC Press LLC, ©2019 |z 9781138323391 |
| 856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpPMLACE0D/primer-on-machine?kpromoter=marc |y Full text |