Runoff Forecast Model Based on an EEMD-ANN and Meteorological Factors Using a Multicore Parallel Algorithm
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-023-03442-y.pdf
Reference29 articles.
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3. Chau KW, Wu CL, Li YS (2005) Comparison of several flood forecasting models in yangtze river. J Hydroelectr Eng 10(6):485–491. https://doi.org/10.1061/(ASCE)1084-0699(2005)10:6(485)
4. Fahimi F, El-Shafie AH (2014) Comment on “a hybrid model of self organizing maps and least square support vector machine for river flow forecasting” by Ismail et al. Hydrol Earth Syst Sci 18(7):2711–2714. https://doi.org/10.5194/hess-18-2711-2014
5. He S, Sang XF, Yin JX, Zheng Y, Chen HT (2022) Short-term runoff prediction optimization method based on bgru-bp and blstm-bp neural networks. Water Resour Manag. https://doi.org/10.1007/s11269-022-03401-z
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