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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 (&#x03C3;<sub>c</sub>), the tensile strength (...

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Main Authors: Yun Lin, Keping Zhou, Jielin Li
Format: Artigo
Language:Inglês
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Cloud model
rough set
normalization
performance comparison
rock burst
Online Access:https://ieeexplore.ieee.org/document/8370631/
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