A primer on machine learning applications in civil engineering
General Material Designation
[electronic resources]
First Statement of Responsibility
by Paresh Chandra Deka.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Boca Raton
Name of Publisher, Distributor, etc.
CRC Press
Date of Publication, Distribution, etc.
2020.
PROJECTED PUBLICATION DATE
Date
1912
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xxi, 258 pages
Other Physical Details
ill., tables.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references.
SUMMARY OR ABSTRACT
Text of Note
"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"--
OTHER EDITION IN ANOTHER MEDIUM
Author
Deka, Paresh Chandra.
Place of Publication
Boca Raton : CRC Press, 2020.
Title
A primer on machine learning applications in civil engineering