ANFIS-based approach for predicting sediment transport in clean sewer

ANFIS: adaptive-network-based fuzzy inference system

Jyh‐Shing Roger Jang · IEEE Transactions on Systems Man and Cybernetics · 1993 · 16.2K citations

Computing, Computer Science, Systems Engineering +17

Prediction of Sediment Load Concentration in Rivers using Artificial Neural Network Model

Hazem Nagy, Kunitoshi Watanabe, Mayumi Hirano · Journal of Hydraulic Engineering · 2002 · 333 citations

Natural Resources, Hydrology, Water Resources Management +17

Suspended sediment estimation using neuro-fuzzy and neural network approaches

Özgür Kişi · Hydrological Sciences Journal · 2005 · 250 citations

Natural Sciences, Earth Sciences, Geology +15

Non-deposition design criteria for sewers with part-full flow

Natchapon Vongvisessomjai, Tawatchai Tingsanchali, Mukand S. Babel · Urban Water Journal · 2010 · 104 citations

Engineering, Civil Engineering, Environmental Engineering +17

Gene-Expression Programming for Sediment Transport in Sewer Pipe Systems

Aminuddin Ab. Ghani, Hazi Mohammad Azamathulla · Journal of Pipeline Systems Engineering and Practice · 2011 · 97 citations

Engineering, Environmental Engineering, Water Resources Management +10