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MARS Applications in Geotechnical En...
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SpringerLink (Online service)
MARS Applications in Geotechnical Engineering Systems = Multi-Dimension with Big Data /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
MARS Applications in Geotechnical Engineering Systems/ by Wengang Zhang.
Reminder of title:
Multi-Dimension with Big Data /
Author:
Zhang, Wengang.
Description:
XXI, 240 p. 99 illus., 64 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Engineering geology. -
Online resource:
https://doi.org/10.1007/978-981-13-7422-7
ISBN:
9789811374227
MARS Applications in Geotechnical Engineering Systems = Multi-Dimension with Big Data /
Zhang, Wengang.
MARS Applications in Geotechnical Engineering Systems
Multi-Dimension with Big Data /[electronic resource] :by Wengang Zhang. - 1st ed. 2020. - XXI, 240 p. 99 illus., 64 illus. in color.online resource.
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
Standard No.: 10.1007/978-981-13-7422-7doiSubjects--Topical Terms:
558458
Engineering geology.
LC Class. No.: TA703-705.4
Dewey Class. No.: 624.15
MARS Applications in Geotechnical Engineering Systems = Multi-Dimension with Big Data /
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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.
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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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