Articles | Volume 13, issue 9
Hydrol. Earth Syst. Sci., 13, 1555–1566, 2009
https://doi.org/10.5194/hess-13-1555-2009
Hydrol. Earth Syst. Sci., 13, 1555–1566, 2009
https://doi.org/10.5194/hess-13-1555-2009

  03 Sep 2009

03 Sep 2009

Classification of hydro-meteorological conditions and multiple artificial neural networks for streamflow forecasting

E. Toth

Cited articles

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Anctil, F., Perrin, Ch., and Andreassian V.: Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models, Environ. Modell. Softw., 19, 357–368, 2004.
ASCE Task Committee on Application of Artificial Neural Networks in Hydrology: Artificial neural networks in hydrology. I: preliminary concepts, J. Hydrol. Eng., 5, 115–123, 2000a.
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