首页|Reports on Machine Learning Findings from University of Science and Technology B eijing Provide New Insights (Applying Machine Learning Approach In Predicting Sh ort-term Rockburst Risks Using Microseismic Information: a Comparison of Paramet ric ...)
Reports on Machine Learning Findings from University of Science and Technology B eijing Provide New Insights (Applying Machine Learning Approach In Predicting Sh ort-term Rockburst Risks Using Microseismic Information: a Comparison of Paramet ric ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews originating from Beijing, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“Microseismic (MS) information is often utilised in deep underground engineering projects for the earlywarning of short-term rockburst hazards. Due to the complex nature of rockburst occurrence, predictingshort-term rockburst is always challenging.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesEngineeringMachine LearningUniversity of Science and Technology Beijing
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