Sediment transport evaluation in pipes using neuro-fuzzy approach

Accurate prediction of sediment discharge is very important to a wide range of water resources projects. This paper investigated the use of neuro-fuzzy approach (ANFIS) as data driven approach in bedload discharge estimation in sewer pipes with rigid boundary condition. An attempt was then made to appraisal some of the existing bed sediment transport equations, and the accuracy of ANFIS-best modes compared with those bedload formulas. Determination Coefficient (DC), Correlation Coefficient (R) and Root Mean Square Errors (RSME) statistics were used for evaluating the accuracy of the models. The obtained results revealed that the proposed technique for considerd condition perform quite well compared to commonly used formulas of bedload transport in pipes

Keywords:

neuro fuzzy , sediment , rigid boundary , pipes