MARS applications in geotechnical engineering systems : multi-dimension with big data / Wengang Zhang.
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 mathematicall...
Saved in:
| Online Access: |
Full Text (via Springer) |
|---|---|
| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Singapore :
Springer,
[2020]
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| Subjects: |
MARC
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| 245 | 1 | 0 | |a MARS applications in geotechnical engineering systems : |b multi-dimension with big data / |c Wengang Zhang. |
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| 264 | 4 | |c ©2020. | |
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| 504 | |a Includes bibliographical references. | ||
| 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. | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed May 7, 2019) | |
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| 650 | 0 | |a Geotechnical engineering. |0 http://id.loc.gov/authorities/subjects/sh2013000289. | |
| 650 | 0 | |a Big data. |0 http://id.loc.gov/authorities/subjects/sh2012003227. | |
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| 650 | 7 | |a Geotechnical engineering. |2 fast |0 (OCoLC)fst01893896. | |
| 650 | 7 | |a Multivariate analysis |x Computer programs. |2 fast |0 (OCoLC)fst01029106. | |
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