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 4 不同决策树个数的AdaBoost方法性能对比

Tab.4 Performance comparison of AdaBoost models with different number of decision trees

NAB NSE MAE/( m3·d−1) RMSE/( m3·d−1) 10 0.846 1 432 2 207 20 0.793 1 701 2 560 30 0.860 1 404 2 102 40 0.802 1 796 2 503 50 0.783 1 783 2 620 60 0.844 1 406 2 224 70 0.822 1 659 2 375 80 0.822 1 782 2 373 90 0.829 1 571 2 324 100 0.814 1 534 2 424