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MARS Applications in Geotechnical Engineering Systems: Multi-Dimension with Big Data
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 134.31
US$ 16.12 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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US$ 178.95
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Add to basketHardcover. Condition: Brand New. 264 pages. 9.25x6.10x0.79 inches. In Stock.
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MARS Applications in Geotechnical Engineering Systems : Multi-Dimension with Big Data
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10: 981137421X ISBN 13: 9789811374210
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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paperback. Condition: New. Paperback. Pub Date: 2019-01-01 Pages: 240 Language: English Publisher: Science Press Many geotechnical problems rely on empirical methods to design equations or expressions chart to determine the response of the system to input variables. MARS Applications in Geotechnical En .
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US$ 196.86
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Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: New. New. book.
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US$ 213.50
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Add to baskethardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: new. Questo è un articolo print on demand.
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MARS Applications in Geotechnical Engineering Systems
Language: English
Published by Springer Nature Singapore Mai 2019, 2019
ISBN 10: 981137421X ISBN 13: 9789811374210
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 264 pp. Englisch.
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US$ 110.58
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Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 efficien.
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Add to basketCondition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Buch. Condition: Neu. MARS Applications in Geotechnical Engineering Systems | Multi-Dimension with Big Data | Wengang Zhang | Buch | xxi | Englisch | 2019 | Springer | EAN 9789811374210 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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MARS Applications in Geotechnical Engineering Systems
Language: English
Published by Springer, Springer Mai 2019, 2019
ISBN 10: 981137421X ISBN 13: 9789811374210
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 264 pp. Englisch.
