Signatures of criticality in mining accidents and recurrent neural network forecasting model
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DOI: 10.1016/j.physa.2019.122656
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References listed on IDEAS
- Mauro, John C. & Diehl, Brett & Marcellin, Richard F. & Vaughn, Daniel J., 2018. "Workplace accidents and self-organized criticality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 284-289.
- Fischer, Thomas & Krauss, Christopher, 2018. "Deep learning with long short-term memory networks for financial market predictions," European Journal of Operational Research, Elsevier, vol. 270(2), pages 654-669.
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Keywords
Mining safety; Self-organized criticality; Time-series forecasting; Machine learning;All these keywords.
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