http://popups.lib.uliege.be/1373-5411/index.php?id=2469 Two important characteristics of the hydrologic phenomena are their non-linear behaviour and uncertainty and ambiguity in their nature. So, as a hydrologic phenomenon, the sediment transport possesses a kind of uncertainty and ambiguity as well. Recently, use of Artificial Neural Networks (ANNs) and fuzzy sets in simulation and modelling of the systems with uncertainty bas produced suitable results. In this research, for modelling and prediction of sediment transport of river flows, the Adaptive Neuro-Fuzzy Inference System (ANFIS) as a method based on the ANNs and fuzzy sets was used. Using several ANNs and ANFIS models for prediction of sediment load transport showed that using the river discharge in the current period and the river discharge and the sediment load in the previous period as the models nodes, yields the best results. Full text issues Volume 19 Engineering Systems, Optimization and Simulation fr Thu, 22 Aug 2024 15:00:19 +0200 Thu, 22 Aug 2024 15:00:28 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2469 0