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Updated: Sep 11, 2025

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System
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基于物理信息的神经网络和传统机器学习模型的煤炭和天然气爆发的预测

Lei Wang1,2, Baoshan Jia3,4, Guorui Su5

  • 1College of Safety Science and Engineering, Liaoning Technical University, Fuxin, 123000, China.

Scientific reports
|August 16, 2025
PubMed
概括

物理信息神经网络 (PINN) 提高了煤炭和天然气爆发预测的准确性和在采矿中的解释性. 这种数据驱动的方法整合了物理定律,提高了安全性和降低风险的策略.

关键词:
煤炭和天然气爆发的爆发情况机制和数据合模型基于物理学的神经网络.预测模型的预测模型.

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