Developing an XGBoost Regression Model for Predicting Young’s Modulus of Intact Sedimentary Rocks for the Stability of Surface and Subsurface Structures

Developing an XGBoost Regression Model for Predicting Young’s Modulus of Intact Sedimentary Rocks for the Stability of Surface and Subsurface Structures

Young’s modulus (E) is essential for predicting the behavior of materials under stress and plays an important role in the stability of surface and subsurface structures. E has a wide range of applications in mining, geology, civil engineering, etc.; for example, coal and metal mines, tunnels, founda...

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Bibliographic Details
Main Authors: Niaz Muhammad Shahani, Xigui Zheng, Cancan Liu, Fawad Ul Hassan, Peng Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Earth Science
Subjects:
dynamic Young’s modulus
k-fold crosses validation
machine learning
predictive modeling
static Young’s modulus
XGBoost
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2021.761990/full

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