• 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