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 (...
I tiakina i:
| Ngā kaituhi matua: | , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
IEEE
2018-01-01
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| Rangatū: | IEEE Access |
| Ngā marau: | |
| Urunga tuihono: | https://ieeexplore.ieee.org/document/8370631/ |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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