Modeling the Discharge Coefficient of Labyrinth Weirs Using Artificial Intelligence Techniques

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SHAFIEI SH.; NAJARCHI M.; SHABANLOU S.

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Paper Information

Journal: WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE) Year:2021 | Volume:31 | Issue:1 Page(s): 45-58

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Title

Modeling the Discharge Coefficient of Labyrinth Weirs Using Artificial Intelligence Techniques

Author(s)

SHAFIEI SH. | NAJARCHI M. | SHABANLOU S. | Issue Writer Certificate

Keywords

ANFISQ1

Discharge coefficientQ1

Firefly algorithmQ2

Labyrinth weirQ1

OptimizationQ2

Abstract

In this research, an evolutionary based Neuro-fuzzy technique was utilized to estimate the Discharge coefficient of Labyrinth weirs. In order to optimize the parameters of the adaptive Neuro-fuzzy inference system (ANFIS), the Firefly algorithm (FFA) was implemented. In modeling the ANFIS-FFA and ANFIS methods, the Monte Carlo simulation was used to evaluate uncertainty of the model. Furthermore, several models with significant flexibility and generalizability were provided using the k-fold cross validation method. First, the input dimensionless parameters including the Froude number (Fr), ratio of the head above the weir to the weir height (HT/P), cycle sidewall angle (α ), ratio of length of the weir crest to the channel width (Lc/W), ratio of length of the apex geometry to the width of a single cycle (A/w) and the ratio of width of a single cycle to weir height (w/P) were defined. After that, seven different models were introduced for ANFIS and ANFIS-FFA. Then, using a sensitivity analysis, the superior models (ANFIS-FFA 5 and ANFIS 5) and the most effective input parameter (Froude number) were identified. In addition, the error distribution results showed that about 70% of the superior model (ANFIS-FFA 5) results had an error less than 5%. In other words, the superior model had a high statistical significance. Ultimately, the uncertainty analysis for the superior models was carried out.

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APA: Copy

SHAFIEI, SH., NAJARCHI, M., & SHABANLOU, S.. (2021). Modeling the Discharge Coefficient of Labyrinth Weirs Using Artificial Intelligence Techniques. WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE), 31(1 ), 45-58. SID. https://sid.ir/paper/411901/en

Vancouver: Copy

SHAFIEI SH., NAJARCHI M., SHABANLOU S.. Modeling the Discharge Coefficient of Labyrinth Weirs Using Artificial Intelligence Techniques. WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE)[Internet]. 2021;31(1 ):45-58. Available from: https://sid.ir/paper/411901/en

IEEE: Copy

SH. SHAFIEI, M. NAJARCHI, and S. SHABANLOU, “Modeling the Discharge Coefficient of Labyrinth Weirs Using Artificial Intelligence Techniques,” WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE), vol. 31, no. 1 , pp. 45–58, 2021, [Online]. Available: https://sid.ir/paper/411901/en

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