Prediction of Board Crested Weir and Sharp Crested Weir Discharge Coefficient by Fuzzy Inference System and Neural Fuzzy Inference System

Sharp and board crested weirs are the most commonly used tools for measuring of flow in irrigation and drainage networks. Considering the importance of exact calculation of discharge, estimating of discharge coefficient of the weirs in order to the justly distribution of water and accuracy is so essential and important. In this research, application and the reliability of two intelligent models including; fuzzy inference system, ANFIS models for estimation of the rectangular sharp-crested weir and board crest weir discharge coefficient was studied. For this purpose, a laboratory flume was used for determination of flow velocity and flow rate over different weirs. Then analytical evaluation were made by using of three mentioned optimization models for determination of sharp-crested weir and board crest weir discharge coefficient. Statistical analysis of the results showed that ANFIS model with the least amount of RMSE and R^2 is the most reliable method in comparison to the others.