NSA-CHG: An Intelligent Prediction Framework for Real-Time TBM Parameter Optimization in Complex Geological Conditions

NSA-CHG: An Intelligent Prediction Framework for Real-Time TBM Parameter Optimization in Complex Geological Conditions

This study proposes an intelligent prediction framework integrating native sparse attention (NSA) with the Chen-Guan (CHG) algorithm to optimize tunnel boring machine (TBM) operations in heterogeneous geological environments. The framework resolves critical limitations of conventional experience-dri...

Full description

Saved in:
Bibliographic Details
Main Authors: Youliang Chen, Wencan Guan, Rafig Azzam, Siyu Chen
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:AI
Subjects:
machine learning
TBM excavation
geological exploration
tunnel construction
neural network
Online Access:https://www.mdpi.com/2673-2688/6/6/127
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items