Deep Learning Data-Intelligence Model Based on Adjusted Forecasting Window Scale: Application in Daily Streamflow Simulation

Streamflow forecasting is essential for hydrological engineering. In accordance with the advancement of computer aids in this field, various machine learning (ML) models have been explored to solve this highly non-stationary, stochastic, and nonlinear problem. In the current research, a newly explor...

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書誌詳細

主要な著者:	Minglei Fu, Tingchao Fan, Zi'ang Ding, Sinan Q. Salih, Nadhir Al-Ansari, Zaher Mundher Yaseen
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2020-01-01
シリーズ:	IEEE Access
主題:	Deep learning model streamflow forecasting tropical environment window scale forecasting LSTM
オンライン･アクセス:	https://ieeexplore.ieee.org/document/9007531/
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