Machine learning and Big Data in deep underground engineering  

作　　者：Asoke K.Nandi Ru Zhang Tao Zhao Tao Lei 

机构地区：[1]Department of Electronic and Electrical Engineering,Brunel University of London,Uxbridge,UK [2]College of Water Resource and Hydropower,Sichuan University,Chengdu,China [3]Institute of Rock and Soil Mechanics,Chinese Academy of Sciences,Wuhan,China [4]School of Electronic Information and Artificial Intelligence,Shaanxi University of Science and Technology,Xi'an,China

出　　处：《Deep Underground Science and Engineering》2025年第1期1-2,共2页深地科学(英文)

摘　　要：This special issue of Deep Underground Science and Engineering(DUSE)showcases pioneering research on the transformative role of machine learning(ML)and Big Data in deep underground engineering.Edited by guest editors Prof.Asoke Nandi(Brunel University of London,UK),Prof.Ru Zhang(Sichuan University,China),Prof.Tao Zhao(Chinese Academy of Sciences,China),and Prof.Tao Lei(Shaanxi University of Science and Technology,China),this issue highlights the innovative applications of ML technique in reshaping structural safety,tunneling operations,and geotechnical investigations.

关 键 词：UNDERGROUND LEARNING operations 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程] TP311.13[自动化与计算机技术—控制科学与工程] TU94[建筑科学—建筑技术科学]