ANFIS-based approach for predicting sediment transport in clean sewer

Link to Article: 
Abstract: 

The necessity of sewers to carry sediment has been recognized for many years. Typically, old sewage systems were designated based on self-cleansing concept where there is no deposition in sewer. These codes were applicable to non-cohesive sediments (typically storm sewers). This study presents adaptive neuro-fuzzy inference system (ANFIS), which is a combination of neural network and fuzzy logic, as an alternative approach to predict the functional relationships of sediment transport in sewer pipe systems. The proposed relationship can be applied to different boundaries with partially full flow. The present ANFIS approach gives satisfactory results (r2=0.98 and RMSE=0.002431) compared to the existing predictor.

Keywords: 
Sewer pipes
Sewer sediments
Sediment transport
Regression analysis
ANFIS
Year: 
2012
Volume: 
Issue: 
Page Start: 
1227
Page End: 
1230