MARS Applications in Geotechnical Engineering Systems [[electronic resource] ] : Multi-Dimension with Big Data / / by Wengang Zhang

• Autore: Zhang Wengang
• Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (XXI, 240 p. 99 illus., 64 illus. in color.)
• Disciplina: 624.15
• Soggetto topico: Engineering geology; Engineering—Geology; Foundations; Hydraulics; Geotechnical engineering; Big data; Input-output equipment (Computers); Geoengineering, Foundations, Hydraulics; Geotechnical Engineering & Applied Earth Sciences; Big Data; Big Data/Analytics; Input/Output and Data Communications
• Nota di contenuto: 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.
• Sommario/riassunto: 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. .
• Titolo autorizzato: MARS Applications in Geotechnical Engineering Systems
• ISBN: 981-13-7422-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910366611103321
• Lo trovi qui: Univ. Federico II