TY  - BOOK
AU  - Deka,Paresh Chandra
TI  - A Primer on Machine Learning Applications in Civil Engineering
SN  - 9780429836664
AV  - TA153 
U1  - 624 23
PY  - 2019///
CY  - Milton
PB  - CRC Press LLC
KW  - Civil engineering
KW  - Machine learning
KW  - COMPUTERS / Machine Theory
KW  - bisacsh
KW  - MATHEMATICS / Arithmetic
KW  - TECHNOLOGY / Engineering / Civil
N1  - Description based upon print version of record
N2  - 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
UR  - https://www.taylorfrancis.com/books/9780429451423
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -