000 01366cam a22002058i 4500
999 _c37393
_d37393
001 21106255
010 _a 2019032902
020 _a9781138323391
040 _aUOWD
082 _a624.0285631 DE PR
100 1 _aDeka, Paresh Chandra
_934084
245 1 2 _aA primer on machine learning applications in civil engineering
_cParesh Chandra Deka
260 _aBoca Raton :
_bCRC Press,
_cc2020.
300 _axxi, 258 p. :
_bill. ;
_c25 cm.
504 _aIncludes bibliographical references.
520 _a"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"--
650 _aCivil engineering
_xData processing
_934085
856 _uhttps://uowd.box.com/s/xfozezdqgwbjkhdf6losdhqdpv938rwk
_zLocation Map
942 _2ddc
_cREGULAR