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首页> 外文期刊>Robotics & Machine Learning Daily News >China University of Mining and Technology - Beijing Researcher Broadens Understanding of Computational Intelligence and Neuroscience (Influence of Underground Mining Direction Based on Particle Flow on Deformation and Failure of Loess Gully Area)
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China University of Mining and Technology - Beijing Researcher Broadens Understanding of Computational Intelligence and Neuroscience (Influence of Underground Mining Direction Based on Particle Flow on Deformation and Failure of Loess Gully Area)

机译:——中国矿业大学和技术北京研究员扩大的理解计算智能和神经科学(地下开采的影响方向颗粒流的变形和破坏黄土冲沟区)

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摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on computational intelligence and neuroscience. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Due to unique landform and lithological features of the loess gully area, the geological disasters caused by coal mining have become more complex.”
机译:机器人技术与新闻记者新闻编辑机器学习每日新闻,调查人员发布的新报告计算智能和神经科学。北京,中华人民共和国NewsRx记者,研究指出:“由于独特的地形和岩性的特征黄土冲沟区域,引起的地质灾害通过煤矿已变得更加复杂。”

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