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 approachâs generalization capabilities and accuracy. As such, it offers a valuable resource for all geotechnical researchers, engineers, and general readers interested in big data analysis.Â
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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.
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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 approachâs generalization capabilities and accuracy. As such, it offers a valuable resource for all geotechnical researchers, engineers, and general readers interested in big data analysis.Â
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Presents the nonparametric regression algorithm known as multivariate adaptive regression splines (MARS) and its applications Introduces simple algorithms that are easy to interpret and deliver good computational efficiency Provides numerous examples and highlights geotechnical applications of big data to facilitate reader comprehension
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Produktdetaljer
ISBN
9789811374210
Publisert
2019-05-14
Utgiver
Vendor
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
AldersnivĂĽ
Research, P, 06
SprĂĽk
Product language
Engelsk
Format
Product format
Innbundet
Forfatter