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A comparison of nonlinear flood forecasting methods

โœ Scribed by Laio, F.; Porporato, A.; Revelli, R.; Ridolfi, L.


Book ID
119659516
Publisher
American Geophysical Union
Year
2003
Tongue
English
Weight
154 KB
Volume
39
Category
Article
ISSN
0043-1397

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An artiยฎcial Neural Network (NN) was successfully applied, in an earlier study, as a prediction tool to forecast water level at Dhaka (Bangladesh), for up to seven lead days in advance, with a high accuracy level. In addition, this high accuracy degree was accompanied with a very short computational