Streamflow Forecasting with Uncertainty Estimate Using Bayesian Learning for ANN

Accurate site-specific streamflow forecasts along with uncertainty estimate are of particular importance for water resources planning and management. In the last decade, different types of artificial neural network (ANN) models have been shown as promising alternative methods forrainfall-runoff modeling. However, one of the critical issues with ANN-based modeling remains the lack of confidence limits for the prediction results. Therefore, …