机译:基于MIC优化随机森林算法的大坝渗漏预测及影响因素滞后敏感性双重分析研究
College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,China, Dept. of Civil and Architectural Engineeri;
College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,China;
Dept. of Civil and Architectural Engineering, Aarhus University, Aarhus C 8000, DenmarkCollege of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, China;
Seepage prediction; Dam; MIC; Random forest algorithm; Influencing factors; Time lag;