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About International Journal of Mining Science and Technology: Yuanyuan Pu, Derek B. Apel, Victor Liu, Hani Mitri
This document provides a review of machine learning methods for rockburst prediction. It begins with an introduction to rockburst phenomena and traditional rockburst prediction methods. It then provides an overview of machine learning methods and their applications in rockburst prediction, surveying current uses of models like artificial neural networks, support vector machines, and deep learning. The review examines related mechanisms, technical details, and performance analysis of machine learning for improving rockburst prediction.
Detailed Information
| Author: | ['Colleen Callahan'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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