An assessment of multi-layer perceptron networks for streamflow forecasting in large-scale interconnected hydrosystems
Author:
Funder
AES Tiete Brazil
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences,Environmental Chemistry,Environmental Engineering
Link
https://link.springer.com/content/pdf/10.1007/s13762-021-03565-y.pdf
Reference77 articles.
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3. Akhtar MK, Corzo GA, Andel SJ, Jonoski A (2009) River flow forecasting with artificial neural networks using satellite observed precipitation pre-processed with flow length and travel time information: case study of the Ganges river basin. Hydrol Earth Syst Sci 13:1607–1618
4. ANA—Brazilian National Water Agency (2019) Operational data from the reservoirs of the Brazilian electric system, viewed 10 January 2021. www.ana.gov.br (in portuguese)
5. Aytek A, Asce M, Alp M (2008) An application of artificial intelligence for rainfall-runoff modeling. J Earth Syst Sci 117:145–155
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