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