River flow forecasting using neural networks and wavelet analysis

The paper deals with the evaluation of surface water resources for water management problems. A neural network has been trained to predict the hydrologic behavior of the runoff for the Tirso basin, located in Sardinia (Italy), at the S. Chiara section, by using the monthly time unit. In particular, due to high data non-stationarity and seasonal irregularity, typical of a Mediterranean weather regime, the role of data preprocessing through continuous and discrete wavelet transforms has been investigated.

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