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基于人工智能算法的不平衡采矿灾害风险水平预测的比较研究.

Zhang Bin1,2, Feng Qian1,2, Li Moxiao3,4

  • 1School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan, 430070, Hubei, China.

Scientific reports
|October 29, 2025
PubMed
概括

预测采矿灾难风险对于智能采矿至关重要. 深森林算法在预测各种采矿稳定水平方面实现了高准确性 (高达96.77%),提高了安全操作.

关键词:
数据挖掘是一种数据挖掘.预测灾难的预测.机器学习是机器学习.矿山发生了灾难.聪明的矿山是我的

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