Abstract
The effects of parameters such as weir length, height of weir, water depth at weir entrance and bed slope on the discharge coefficient of a rectangular sharp-crested side weir were analysed using standard linear regression and the adaptive neuro-fuzzy inference system (Anfis). The results showed that the Anfis model performed better than the regression model in all different scenarios defined in this study. Anfis can simulate the discharge coefficient better than the regression model and always works better. Without considering the channel slope, both models represent satisfactory results, but the Anfis model shows more sensitivity to channel slope than does the regression model. Based on the results of this study, the Anfis model is suggested for estimation of side weir discharge coefficient.
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