Hydrological flow rate estimation using artificial neural networks: model development and potential applications

DOI10.1016/j.amc.2016.07.014zbMath1410.86009OpenAlexW2498073538MaRDI QIDQ1733765

Stevan Prohaska, Srđan Kostić, Milan Stojković

Publication date: 21 March 2019

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2016.07.014

zbMATH Keywords

artificial neural networksMonte-Carlo simulationflow rateclimatic scenariohydroenergy production

Mathematics Subject Classification ID

Hydrology, hydrography, oceanography (86A05) Geostatistics (86A32) Computational methods for problems pertaining to geophysics (86-08)

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