首页|Findings from Southwest Jiaotong University in the Area of Machine Learning Rep rted (Predicting Rock Unconfined Compressive Strength Based On Tunnel Face Boreh oles Measurement-whiledrilling Data)
Findings from Southwest Jiaotong University in the Area of Machine Learning Rep rted (Predicting Rock Unconfined Compressive Strength Based On Tunnel Face Boreh oles Measurement-whiledrilling Data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Sichuan, People’s Rep ublic of China, by NewsRx editors, research stated, “Quick and accurate acquisition of the uniaxial compressive strength (UCS) of the surrounding rock at the tu nnel face effectively ensures the safety of tunnel construction. This paper prop oses a model for estimating the USC of the tunnel surrounding rock based on bore holes measurement-while-drilling data and stacking ensemble algorithm.”
SichuanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningSouthwest Jiaotong University
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