Predicted daily runoff using artificial neural networks ANN in daily flow forecasting

Successful management of water resources requires directional, comprehensive and systematic approaches in order to remove consumers need considering accelerated process of water-related problems and increased demands. In this regard, utilization of modern methods of water resources modeling is so important. Efficiency of statistical learning models in many issues related to management such as water resource modeling or controlling has been proved. On the other hand, advances in the information processing methods have increased data-driven methods in comparison with behavior-driven (physical) methods. For modeling, these methods use minimum information from physical processes and more based on data to describe the characteristics of input and output variables.