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 5 不同批量大小的改进LSTM方法性能对比

Tab.5 Performance comparison of improved LSTM models with different batch sizes

NBS NSE MAE/( m3·d−1) RMSE/( m3·d−1) 16 0.924 1 115 1 548 32 0.927 1 335 1 646 64 0.917 1 170 1 617 128 0.896 1 376 1 811 256 0.761 1 980 2 752