基于集成学习与深度学习的日供水量预测方法

周欣磊,顾海挺,刘晶,许月萍,耿芳,王冲

Daily water supply prediction method based on integrated learning and deep learning

Xin-lei ZHOU,Hai-ting GU,Jing LIU,Yue-ping XU,Fang GENG,Chong WANG

表 3 不同决策树深度的随机森林方法性能对比

Tab.3 Performance comparison of random forest models with different decision tree depths

DRF NSE MAE/( m3·d−1) RMSE/( m3·d−1) 2 0.872 1 382 2 009 3 0.933 874 1 455 4 0.939 853 1 390 5 0.932 915 1 469 6 0.923 928 1 559 7 0.921 971 1 577 8 0.896 1 134 1 816 9 0.881 1 193 1 937 10 0.860 1 317 2 107 11 0.824 1 471 2 363