摘要
由一名新闻记者兼机器人与机器学习每日新闻编辑-研究人员详细介绍了机器学习的新数据。根据新闻通讯社记者从中国江苏发来的新闻报道，研究表明：“煤巷断层带S通常依靠多次复掘和反复加固来控制，这给实现巷道初始支护强度的精确控制带来了挑战。”断层带开挖稳定阶段围岩变形预测是精确控制初始支护强度的前提。本研究的资金来源包括国家自然科学基金(NSFC)、中国矿业大学研究生创新计划、中央大学基础研究基金、江苏省研究生研究与实践创新计划。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting originating from Jiangsu, People’s Republ ic of China, by NewsRx correspondents, research stated, “Coal roadway fault zone s typically rely on multiple re -excavations and repeated reinforcements for con trol, posing challenges in achieving precise control of the initial support stre ngth of the roadway. Therefore, predicting the deformation of the surrounding ro ck during the stability phase of fault zone excavation is a prerequisite for the precise control of the initial support strength.” Funders for this research include National Natural Science Foundation of China ( NSFC), Graduate Innovation Program of China University of Mining and Technology, Fundamental Research Funds for the Central Universities, Postgraduate Research & Practice Innovation Program of Jiangsu Province.
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