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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