Application of Cloud Model in Rock Burst Prediction and Performance Comparison with Three Machine Learning Algorithms
Rock burst is a common disaster in deep underground rock mass engineering excavation. In this paper, a cloud model (CM) is applied to classify and assess rock bursts. Some main factors that influence rock bursts include the uniaxial compressive strength (σ<sub>c</sub>), the tensile strength (...
Furkejuvvon:
| Váldodahkkit: | , , |
|---|---|
| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
IEEE
2018-01-01
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| Ráidu: | IEEE Access |
| Fáttát: | |
| Liŋkkat: | https://ieeexplore.ieee.org/document/8370631/ |
| Fáddágilkorat: |
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