DocumentCode
2892874
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
fYear
2011
fDate
18-20 Nov. 2011
Firstpage
99
Lastpage
101
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Trends in Engineering and Technology (ICETET), 2011 4th International Conference on
Conference_Location
Port Louis
ISSN
2157-0477
Print_ISBN
978-1-4577-1847-2
Type
conf
DOI
10.1109/ICETET.2011.47
Filename
6120562
Link To Document