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机译:Predicting the Maximum Seismic Response of the Soil-Pile-Superstructure System Using Random Forests
Guangzhou University;
The University of California, Riverside;
Harbin Institute of Technology;
Seismic response; soil-pile-superstructure system; finite element analysis; ground motion parameters; random forests; machine learning;