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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 approachs generalization capabilities and accuracy. As such, it offers a valuable resource for all geotechnical researchers, engineers, and general readers interested in big data analysis.
- Illustratör: 20 farbige Tabellen 40 schwarz-weiße und 20 farbige Abbildungen Bibliographie
- Format: Inbunden
- ISBN: 9789811374210
- Språk: Engelska
- Antal sidor: 240
- Utgivningsdatum: 2019-05-14
- Förlag: Springer Verlag, Singapore