Machine learning in coal and gas outburst prediction

Peng Ji; Shiliang Shi

doi:10.59400/jam.v1i1.74

Open Journal Systems

Machine learning in coal and gas outburst prediction

Peng Ji, Shiliang Shi

Abstract

Artificial intelligence is flourishing, and its research achievements are being extensively applied across various industries. In the field of predicting coal and gas outbursts, methods such as machine learning and deep learning have been widely explored, resulting in accurate prediction accuracy and excellent predictive effects. This has significantly improved the safety of coal mine underground operations.

Keywords

machine learning; coal and gas outburst prediction; deep learning; artificial intelligence; application

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References

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DOI: https://doi.org/10.59400/jam.v1i1.74
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