flash-flood forecasting by means of neural networks and nearest neighbour approach – a comparative study
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ID: 143494
2006
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Abstract
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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piotrowski2006nonlinearflash-flood
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| Authors | ;A. Piotrowski;J. J. Napiórkowski;P.M. Rowiński |
| Journal | BMC research notes |
| Year | 2006 |
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