Prediction of tunnel boring machine operating parameters using various machine learning algorithms

被引：0
|
作者：
Xu, Chen [1 ]
Liu, Xiaoli [1 ,2 ]
Wang, Enzhi [1 ,2 ]
Wang, Sijing [1 ,2 ,3 ]
机构：
[1] State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing,100084, China
[2] Sanjiangyuan Collaborative Innovation Center, Tsinghua University, Beijing,100084, China
[3] Institute of Geology and Geophysics of the Chinese Academy of Sciences, Beijing,100029, China
来源：
Tunnelling and Underground Space Technology | 2021年 / 109卷
关键词：
The National Key Research and Development Plan (Grant No. 2018YFC1504902); and the National Natural Science Foundation of China (Grant No. 52079068; 51479094; 41772246) are gratefully acknowledged. The data are from the National Program on Key Basic Research Project (973 Program) (Grant No. 2015CB058100);
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学科分类号：
摘要：
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