Neural Networks For Daily Mean FlowForecasting

A neural network is developed to model the rainfall-runoff behaviour of the Tiber River basin. Performances of the neural network are then compared with the ones gained through an autoregressive model with exogenus input (ARX) and via the persistence hypothesis. The comparison shows that the neural scheme is able to provide very accurate discharge forecasts and performances quite superior to the other two approaches.