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 2 不同决策树个数的随机森林方法性能对比

Tab.2 Performance comparison of random forest models with different number of decision trees

NRF NSE MAE/( m3·d−1) RMSE/( m3·d−1) 10 0.937 864 1 408 20 0.938 879 1 405 30 0.938 830 1 395 40 0.937 848 1 416 50 0.938 861 1 402 60 0.941 841 1 367 70 0.944 819 1 335 80 0.938 873 1 402 90 0.939 853 1 389 100 0.939 837 1 390