Investigators at Chongqing University Report Findings in Machine Learning (Machi ne Learning-based Modeling of Interface Creep Behavior of Grouted Soil Anchors W ith Varying Soil Moistures)
Investigators at Chongqing University Report Findings in Machine Learning (Machi ne Learning-based Modeling of Interface Creep Behavior of Grouted Soil Anchors W ith Varying Soil Moistures)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting from Jiangsu, People’s Repub lic of China, by NewsRx journalists, research stated, “The interfacecreep behav ior of the grouted soil anchor subject to varying soil moisture was investigated using thecombined incorporation of experimental and data-driven modeling metho ds to establish an efficient androbust forecasting framework. This study carrie d out the rapid and creep pullout tests of element anchorspecimens at various s aturations and then utilized machine learning methods to predict the developmentof interface creep displacement.”
Key words
Jiangsu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Chongqing University
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