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MARS applications in geotechnical engineering systemsmulti-dimension with big data /

Record Type:	Electronic resources : Monograph/item
Title/Author:	MARS applications in geotechnical engineering systemsby Wengang Zhang.
Reminder of title:	multi-dimension with big data /
Author:	Zhang, Wengang.
Published:	Singapore :Springer Singapore :2020.
Description:	xxi, 240 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Multivariate analysisComputer programs.
Online resource:	https://doi.org/10.1007/978-981-13-7422-7
ISBN:	9789811374227$q(electronic bk.)

MARS applications in geotechnical engineering systemsmulti-dimension with big data /
Zhang, Wengang.

MARS applications in geotechnical engineering systemsmulti-dimension with big data /[electronic resource] :by Wengang Zhang. - Singapore :Springer Singapore :2020. - xxi, 240 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9789811374227$q(electronic bk.)

Standard No.: 10.1007/978-981-13-7422-7doiSubjects--Topical Terms:

456771
Multivariate analysis
--Computer programs.

LC Class. No.: QA278

Dewey Class. No.: 519.535

MARS applications in geotechnical engineering systemsmulti-dimension with big data /
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245 1 0 $a MARS applications in geotechnical engineering systems $h [electronic resource] : $b multi-dimension with big data / $c by Wengang Zhang.
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505 0 $a 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 $a 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.
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