MARS Applications in Geotechnical Engineering Systems (Record no. 76817)

000 -LEADER
fixed length control field 03063nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-981-13-7422-7
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801214839.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190430s2020 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789811374227
-- 978-981-13-7422-7
082 04 - CLASSIFICATION NUMBER
Call Number 624.15
100 1# - AUTHOR NAME
Author Zhang, Wengang.
245 10 - TITLE STATEMENT
Title MARS Applications in Geotechnical Engineering Systems
Sub Title Multi-Dimension with Big Data /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XXI, 240 p. 99 illus., 64 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- MARS methodology -- Simple MARS modeling examples -- MARS use in prediction of collapse potential for compacted soils -- MARS use in prediction of diaphragm wall deflections in soft clays -- MARS use in HP-pile drivability assessment -- MARS use in assessment of soil liquefaction -- MARS use in evaluating entry-type excavation stability -- Summary and conclusions.
520 ## - SUMMARY, ETC.
Summary, etc This book presents the application of a comparatively simple nonparametric regression algorithm, known as the multivariate adaptive regression splines (MARS) surrogate model, which can be used to approximate the relationship between the inputs and outputs, and express that relationship mathematically. The book first describes the MARS algorithm, then highlights a number of geotechnical applications with multivariate big data sets to explore the approach’s generalization capabilities and accuracy. As such, it offers a valuable resource for all geotechnical researchers, engineers, and general readers interested in big data analysis. .
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-981-13-7422-7
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2020.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering geology.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Geotechnical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Big data.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Quantitative research.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer input-output equipment.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Geoengineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Geotechnical Engineering and Applied Earth Sciences.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Big Data.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Analysis and Big Data.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Input/Output and Data Communications.
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-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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