Tunnel geomechanical parameters prediction using Gaussian process regression

Tunnel geomechanical parameters prediction using Gaussian process regression

The purpose of this study is to apply a modern intelligent method of Gaussian process regression (GPR) to predict the geological parameter of Rock Quality Designation (RQD) along the tunnel route. This method can also be used for any geological parameter prediction of tunnel future levels. The GPR m...

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Bibliographic Details
Main Authors: Arsalan Mahmoodzadeh, Mokhtar Mohammadi, Hawkar Hashim Ibrahim, Tarik Ahmed Rashid, Adil Hussain Mohammed Aldalwie, Hunar Farid Hama Ali, Ako Daraei
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:Machine Learning with Applications
Subjects:
Tunnel construction
Tunnel geology
Gaussian process regression
Rock quality designation
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827021000013

Internet

http://www.sciencedirect.com/science/article/pii/S2666827021000013

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