Artificial neural networks for estimating the hydraulic performance of labyrinth-channel emitters
The emitter flow variation (qvar) and manufacturers coefficient of variation (CV) were modeling. Artificial neural network (ANN) was developed for estimating of the emitter hydraulic performance. Statistical criteria indicated that the ANN model was better than multiple linear regression model. Using the ANN model provides qvar and CV values with high accuracy.
artificial neural network emitter flow variation manufacturers coefficient of variation labyrinth emitter