Robotics & Machine Learning Daily News2024,Issue(Feb.21) :7-8.DOI:10.1007/s11629-023-8048-z

Investigators from Ministry of Water Resources Report New Data on Machine Learning (A Method To Predict the Peak Shear Strength of Rock Joints Based On Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Feb.21) :7-8.DOI:10.1007/s11629-023-8048-z

Investigators from Ministry of Water Resources Report New Data on Machine Learning (A Method To Predict the Peak Shear Strength of Rock Joints Based On Machine Learning)

扫码查看

Abstract

Fresh data on Machine Learning are presented in a new report. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “In geotechnical and tunneling engineering, accurately determining the mechanical properties of jointed rock holds great significance for project safety assessments. Peak shear strength (PSS), being the paramount mechanical property of joints, has been a focal point in the research field.” Funders for this research include National Key Research and Development Program of China, National Natural Science Foundation of China (NSFC), Open Fund of Anhui Province Key Laboratory of Building Structure and Underground Engineering, Anhui Jianzhu University, Open Research Fund of Key Laboratory of Construction and Safety of Water Engineering of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research.

Key words

Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Ministry of Water Resources

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
参考文献量60
段落导航相关论文