Exploring machine learning techniques for open stope stability prediction: A comparative study and feature importance analysis
The stability of underground excavations is essential for ensuring the safety of mining operations. Classical stability assessment methods, established in empirical formulas and rock mass classification systems, have long been employed for evaluating stope stability in underground mining. Stability...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-07-01
|
| Series: | Rock Mechanics Bulletin |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2773230424000453 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|