Flash-flood forecasting by means of neural networks and nearest neighbour approach – a comparative study

Piotrowski, A.; Napiórkowski, J. J.; Rowiński, P.M.

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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Piotrowski, A. / Napiórkowski, J. J. / Rowiński, P.M.: Flash-flood forecasting by means of neural networks and nearest neighbour approach – a comparative study. 2006. Copernicus Publications.

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