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A Primer on Machine Learning Applications in Civil Engineering
Contributor(s): Deka, Paresh Chandra (Author)

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ISBN: 113832339X     ISBN-13: 9781138323391
Publisher: CRC Press
OUR PRICE: $114.00  

Binding Type: Hardcover - See All Available Formats & Editions
Published: November 2019
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Computers | Machine Theory
- Mathematics | Arithmetic
- Technology & Engineering | Civil - General
Dewey: 624.028
LCCN: 2019032902
Physical Information: 258 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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(R) exercises
 
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