000			03271cam a2200553Mu 4500
001			9780429451423
003			FlBoTFG
005			20220711212032.0
006			m d
007			cr nnn---nnnnn
008			191102s2019 enk o 000 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9780429836664
020			_a042983666X
020			_a9780429451423 _q(electronic bk.)
020			_a0429451423 _q(electronic bk.)
020			_a9780429836657 _q(electronic bk. : EPUB)
020			_a0429836651 _q(electronic bk. : EPUB)
020			_a9780429836640 _q(electronic bk. : Mobipocket)
020			_a0429836643 _q(electronic bk. : Mobipocket)
020			_z113832339X
020			_z9781138323391
035			_a(OCoLC)1126217184 _z(OCoLC)1125971575
035			_a(OCoLC-P)1126217184
050		4	_aTA153
072		7	_aCOM _x037000 _2bisacsh
072		7	_aMAT _x004000 _2bisacsh
072		7	_aTEC _x009020 _2bisacsh
072		7	_aTJFM _2bicssc
082	0	4	_a624 _223
100	1		_aDeka, Paresh Chandra. _912506
245	1	2	_aA Primer on Machine Learning Applications in Civil Engineering _h[electronic resource].
260			_aMilton : _bCRC Press LLC, _c2019.
300			_a1 online resource (281 pages)
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
500			_aDescription based upon print version of record.
520			_aMachine 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
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aCivil engineering. _910082
650		0	_aMachine learning. _91831
650		7	_aCOMPUTERS / Machine Theory _2bisacsh _912507
650		7	_aMATHEMATICS / Arithmetic _2bisacsh _910958
650		7	_aTECHNOLOGY / Engineering / Civil _2bisacsh _912508
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429451423
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942			_cEBK
999			_c70236 _d70236