Attitude-Predictive Control of Large-Diameter Shield Tunneling: PCA-SVR Machine Learning Algorithm Application in a Case Study of the Zhuhai Xingye Express Tunnel

Attitude-Predictive Control of Large-Diameter Shield Tunneling: PCA-SVR Machine Learning Algorithm Application in a Case Study of the Zhuhai Xingye Express Tunnel

In order to realize effective attitude-predictive control during large-diameter shield tunneling, this study established an intelligent framework for attitude prediction. Specifically, a principal component analysis–support vector regression (PCA-SVR) hybrid model was constructed, based on principal...

Full description

Saved in:
Bibliographic Details
Main Authors: Hui Li, Yijun Tan, Decheng Zeng, Dong Su, Shiye Qiao
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
super-large-diameter shield tunnel
support vector regression
moving trajectory
attitude prediction
sensitivity analysis
Online Access:https://www.mdpi.com/2076-3417/15/4/1880
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2076-3417/15/4/1880

Similar Items