A Primer on Machine Learning Applications in Civil Engineering (Record no. 70236)

000 -LEADER
fixed length control field 03271cam a2200553Mu 4500
001 - CONTROL NUMBER
control field 9780429451423
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220711212032.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191102s2019 enk o 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780429836664
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 042983666X
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780429451423
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0429451423
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780429836657
-- (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0429836651
-- (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780429836640
-- (electronic bk. : Mobipocket)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0429836643
-- (electronic bk. : Mobipocket)
082 04 - CLASSIFICATION NUMBER
Call Number 624
100 1# - AUTHOR NAME
Author Deka, Paresh Chandra.
245 12 - TITLE STATEMENT
Title A Primer on Machine Learning Applications in Civil Engineering
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Milton :
Publisher CRC Press LLC,
Year of publication 2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (281 pages)
500 ## - GENERAL NOTE
Remark 1 Description based upon print version of record.
520 ## - SUMMARY, ETC.
Summary, etc 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
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.taylorfrancis.com/books/9780429451423
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
336 ## -
-- text
-- rdacontent
337 ## -
-- computer
-- rdamedia
338 ## -
-- online resource
-- rdacarrier
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Civil engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine learning.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Machine Theory
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- MATHEMATICS / Arithmetic
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- TECHNOLOGY / Engineering / Civil

No items available.