A Primer on Machine Learning Applications in Civil Engineering
Paresh Chandra Deka, National Institute of Technology, Surathkal, Karnataka, India
CRC Press, Inc., 2020
ISBN: 9781138323391;
Language: English
A Primer on Machine Learning Applications in Civil Engineering provides 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
- 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 scripts at the end of the book
