首页|Data on Machine Learning Reported by Researchers at China University of Mining a nd Technology (Autonomous Prediction of Rock Deformation In Fault Zones of Coal Roadways Using Supervised Machine Learning)
Data on Machine Learning Reported by Researchers at China University of Mining a nd Technology (Autonomous Prediction of Rock Deformation In Fault Zones of Coal Roadways Using Supervised Machine Learning)
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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.
JiangsuPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChina University of Mining and Technology
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