Discharge Estimation of Circular Sewer with a Combined Weir-Sluice Gate Device Using Artificial Neural Networks ANNs

The paper presents the application of artificial neural network (ANN) to determine combined weir-sluice gate device discharge relationship. The device was implemented at the brink of a typical circular sewerconduit. Experimental data including hydraulic and geometric information for different amount ofdischarge in the sewer were used to train and validate a multilayer perceptron network. Comparing result with previous studies shows that ANNs as a modeling tool is a bit more efficient and more accurate compare with conventional nonlinear regression statistical methods in discharge estimation of combined weir-sluice gate device.

Keywords:

Sewage , Weir-Sluice Gate , Discharge Measurement , Experimental Data , Artificial Neural Networks