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| Titel |
Flash-flood forecasting by means of neural networks and nearest neighbour approach – a comparative study |
| VerfasserIn |
A. Piotrowski, J. J. Napiórkowski, P. M. Rowiński |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 13, no. 4 ; Nr. 13, no. 4 (2006-08-25), S.443-448 |
| Datensatznummer |
250011813
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| Publikation (Nr.) |
 copernicus.org/npg-13-443-2006.pdf |
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| Zusammenfassung |
| In this paper, Multi-Layer Perceptron and Radial-Basis Function Neural
Networks, along with the Nearest Neighbour approach and linear regression
are utilized for flash-flood forecasting in the mountainous Nysa Klodzka
river catchment. It turned out that the Radial-Basis Function Neural Network
is the best model for 3- and 6-h lead time prediction and the only
reliable one for 9-h lead time forecasting for the largest flood used as
a test case. |
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