Artificial Neural Network Approach for Hydrologic River Flow Time Series Forecasting
Author:
Funder
World Bank Group
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Agronomy and Crop Science,Food Science
Link
https://link.springer.com/content/pdf/10.1007/s40003-021-00585-5.pdf
Reference21 articles.
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2. ASCE (2000) Artificial neural networks in hydrology II: hydrologic applications by the ASCE Task committee on application of artificial neural networks in hydrology. J Hydrol Eng 5(2):124–137. https://doi.org/10.1061/(ASCE)1084-0699(2000)5:2(115)
3. ASCE (2000) Artificial neural networks in hydrology. I: preliminary concepts by the ASCE task committee on application of artificial neural networks in hydrology. J Hydrol Eng 5(2):115–123. https://doi.org/10.1061/(ASCE)1084-0699(2000)5:2(124)
4. Bourdin DR, Fleming SW, Stull RB (2012) Streamflow modelling: a primer on applications approaches and challenges. Atmos Ocean 50(4):507. https://doi.org/10.1080/07055900.2012.734276
5. Butts MB, Payne JT, Kristensen M, Madsen H (2004) An evaluation of the impact of model structure on hydrological modelling uncertainty for stream flow simulation. J Hydrol 298(1–4):242–266. https://doi.org/10.1016/j.jhydrol.2004.03.042
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