Prediction of Discharge Capacity over Two-Cycle Labyrinth Side Weir Using ANFIS
[ N/A ]
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Asce-Amer Soc Civil Engineers
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Physical and mathematical models widely used in hydraulic engineering are not always effective in practice. Numerical methods such as the adaptive neuro fuzzy inference system (ANFIS) can be quite useful for estimating the key parameters, especially for complex and multivariate mathematical models. The aim of this study is to determine the discharge coefficients of labyrinth side weirs with two cycles using an experiment setup and ANFIS. Estimation of the discharge efficiency of the side weir has been achieved by using 285 laboratory data sets. The results of ANFIS functions and multiple nonlinear regression (MNLR) analysis were compared with experimental results. It is shown that two ANFIS functions, trimf and gbellmf, give the best estimations, and therefore this technique can be used effectively in practice. (C) 2016 American Society of Civil Engineers.
Açıklama
Anahtar Kelimeler
Labyrinth side weir, Discharge coefficient, Two cycles, Adaptive neuro fuzzy inference system (ANFIS)
Kaynak
Journal of Irrigation And Drainage Engineering
WoS Q Değeri
Q2
Scopus Q Değeri
Cilt
142
Sayı
5
