Advancements in machine learning techniques for coal and gas outburst prediction in underground mines

IF 5.6 2区工程技术 Q2 ENERGY & FUELS

International Journal of Coal Geology Pub Date : 2024-02-01 DOI:10.1016/j.coal.2024.104471

A. Anani, S. Adewuyi, Nathalie Risso, W. Nyaaba

引用次数: 0

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煤矿井下煤与瓦斯突出预测的机器学习技术进展

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Coal Geology 工程技术-地球科学综合

CiteScore

11.00

自引率

14.30%

发文量

145

审稿时长

38 days

期刊介绍： The International Journal of Coal Geology deals with fundamental and applied aspects of the geology and petrology of coal, oil/gas source rocks and shale gas resources. The journal aims to advance the exploration, exploitation and utilization of these resources, and to stimulate environmental awareness as well as advancement of engineering for effective resource management.