Title :
Fuzzy Logy for Prediction of Velocity in Channel Bend
Author :
Durge, P.V. ; Nagarnaik, P.B.
Author_Institution :
Dept. of Civil Eng., G.H.R.C.E., Nagpur, India
Abstract :
The flow in channel bend is spiral or helical. It is a movement of water particles in the flow direction. Many researchers have stated mathematical equations to predict velocity in the flow direction in the channel bend. These equations are based on simplified assumptions. The Artificial Neural Network is a viable alternative to predict longitudinal velocity in channel bend. It builds the model by estimating suitable approximating function of available input/output samples. Once such relationship is established, it can be used for prediction of the future behavior. The paper aims at developing ANN model namely Fuzzy logy. It is found that Fuzzy logy model is capable to predict velocity in the channel bend with reasonable accuracy.
Keywords :
channel flow; computational fluid dynamics; flow measurement; fuzzy logic; fuzzy neural nets; velocity measurement; water; ANN model; artificial neural network; channel flow; flow direction; function approximation; fuzzy logy; helical channel bend; longitudinal velocity prediction; mathematical equations; spiral channel bend; water particles; Artificial neural networks; Biological system modeling; Mathematical model; Neurons; Testing; Training; Vectors; ANN; Channel Bends; Velocity;
Conference_Titel :
Emerging Trends in Engineering and Technology (ICETET), 2011 4th International Conference on
Conference_Location :
Port Louis
Print_ISBN :
978-1-4577-1847-2
DOI :
10.1109/ICETET.2011.47