क्यूआर कोड

Boosting Model Interpretability for Transparent ML in TBM Tunneling

Tunnel boring machines (TBMs) are essential for excavating metro tunnels, reducing disruptions to surrounding rock, and ensuring efficient progress. This study examines how machine learning (ML) models can predict key tunneling outcomes, focusing on making these predictions clearer. Specifically, th...

पूर्ण विवरण

में बचाया:
मुख्य लेखकों: Konstantinos N. Sioutas, Andreas Benardos
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: MDPI AG 2024-12-01
श्रृंखला:Applied Sciences
विषय:
TBM
metro tunnels
machine learning (ML)
surface settlements
penetration rate (PR)
SHAP in tunneling
ऑनलाइन पहुंच:https://www.mdpi.com/2076-3417/14/23/11394
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