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MARS Applications in Geotechnical Engineering Systems

Multi-Dimension with Big Data

  • Wengang Zhang
Book

About this book

Introduction

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. 

Keywords

Multivariate Adaptive Regression Splines Geotechnical Engineering System Big Data Surrogate Model Meta Model Performance Functions Pile Drivability Limit State Funtions

Authors and affiliations

  • Wengang Zhang
    • 1
  1. 1.Chongqing UniversityChongqingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-7422-7
  • Copyright Information Science Press and Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-13-7421-0
  • Online ISBN 978-981-13-7422-7
  • Buy this book on publisher's site