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Huang, Xinxing (author), Li, Yifan (author), Tian, Zhan (author), Ye, Qinghua (author), Ke, Q. (author), Fan, Dongli (author), Mao, Ganquan (author), Chen, Aifang (author), Liu, Junguo (author)
Efficient and accurate streamflow predictions are important for urban water management. Data-driven models, especially neural network (NN) models can predict streamflow fast, while the results are uncertain in some complex river systems. Physically based models can reveal the underlying physics, but it is relatively slow and computationally...
journal article 2021