article

Predicting discharge capacity of triangular labyrinth side weir located on a straight channel by using an adaptive neuro-fuzzy technique

Authors:

M. Emin Emiroglu,

Omer BilhanAuthors Info & Claims

Advances in Engineering Software, Volume 41, Issue 2

Pages 154 - 160

https://doi.org/10.1016/j.advengsoft.2009.09.006

Published: 01 February 2010 Publication History

Abstract

Side weirs are widely used for flow diversion in irrigation, land drainage, urban sewage systems and also in intake structures. It is essential to correctly predict the discharge coefficient for hydraulic engineers involved in the technical and economical design of side weirs. In this study, the discharge capacity of triangular labyrinth side weirs is estimated by using adaptive neuro-fuzzy inference system (ANFIS). Two thousand five hundred laboratory test results are used for determining discharge coefficient of triangular labyrinth side weirs. The performance of the ANFIS model is compared with multi nonlinear regression models. Root mean square errors (RMSE), mean absolute errors (MAE) and correlation coefficient (R) statistics are used as comparing criteria for the evaluation of the models' performances. Based on the comparisons, it was found that the ANFIS technique could be employed successfully in modeling discharge coefficient from the available experimental data. There are good agreements between the measured values and the values obtained using the ANFIS model. It is found that the ANFIS model with RMSE of 0.0699 in validation stage is superior in estimation of discharge coefficient than the multiple nonlinear and linear regression models with RMSE of 0.1019 and 0.1507, respectively.

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Cited By

Emami HEmami SParsa J(2022)A Walnut optimization algorithm applied to discharge coefficient prediction on labyrinth weirsSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-022-07041-826:22(12197-12215)Online publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1007/s00500-022-07041-8
Karami HKarimi SBonakdari HShamshirband S(2018)Predicting discharge coefficient of triangular labyrinth weir using extreme learning machine, artificial neural network and genetic programmingNeural Computing and Applications10.1007/s00521-016-2588-x29:11(983-989)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s00521-016-2588-x
Zaji ABonakdari HKhodashenas SShamshirband S(2016)Firefly optimization algorithm effect on support vector regression prediction improvement of a modified labyrinth side weir's discharge coefficientApplied Mathematics and Computation10.1016/j.amc.2015.10.070274:C(14-19)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1016/j.amc.2015.10.070
Show More Cited By

Predicting discharge capacity of triangular labyrinth side weir located on a straight channel by using an adaptive neuro-fuzzy technique
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning

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Copyright © Elsevier Ltd © 2009.

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Elsevier Science Ltd.

United Kingdom

Publication History

Published: 01 February 2010

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Cited By

Emami HEmami SParsa J(2022)A Walnut optimization algorithm applied to discharge coefficient prediction on labyrinth weirsSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-022-07041-826:22(12197-12215)Online publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1007/s00500-022-07041-8
Karami HKarimi SBonakdari HShamshirband S(2018)Predicting discharge coefficient of triangular labyrinth weir using extreme learning machine, artificial neural network and genetic programmingNeural Computing and Applications10.1007/s00521-016-2588-x29:11(983-989)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s00521-016-2588-x
Zaji ABonakdari HKhodashenas SShamshirband S(2016)Firefly optimization algorithm effect on support vector regression prediction improvement of a modified labyrinth side weir's discharge coefficientApplied Mathematics and Computation10.1016/j.amc.2015.10.070274:C(14-19)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1016/j.amc.2015.10.070
Ebtehaj IBonakdari HZaji AAzimi HSharifi A(2015)Gene expression programming to predict the discharge coefficient in rectangular side weirsApplied Soft Computing10.1016/j.asoc.2015.07.00335:C(618-628)Online publication date: 1-Oct-2015
https://dl.acm.org/doi/10.1016/j.asoc.2015.07.003
Serin SMorova NSaltan MTerzi SKaraşahin M(2014)Prediction of the marshall stability of reinforced asphalt concrete with steel fiber using fuzzy logicJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.5555/2595223.259525426:4(1943-1950)Online publication date: 1-Jul-2014
https://dl.acm.org/doi/10.5555/2595223.2595254
Kisi OEmin Emiroglu MBilhan OGuven A(2012)Prediction of lateral outflow over triangular labyrinth side weirs under subcritical conditions using soft computing approachesExpert Systems with Applications: An International Journal10.1016/j.eswa.2011.09.03539:3(3454-3460)Online publication date: 1-Feb-2012
https://dl.acm.org/doi/10.1016/j.eswa.2011.09.035
Emiroğlu MBeycioğlu AYildiz S(2012)ANFIS and statistical based approach to prediction the peak pressure load of concrete pipes including glass fiberExpert Systems with Applications: An International Journal10.1016/j.eswa.2011.08.14939:3(2877-2883)Online publication date: 1-Feb-2012
https://dl.acm.org/doi/10.1016/j.eswa.2011.08.149
Aydin M(2012)CFD simulation of free-surface flow over triangular labyrinth side weirAdvances in Engineering Software10.1016/j.advengsoft.2011.09.00645:1(159-166)Online publication date: 1-Mar-2012
https://dl.acm.org/doi/10.1016/j.advengsoft.2011.09.006
Bilhan OEmiroglu MKisi O(2011)Use of artificial neural networks for prediction of discharge coefficient of triangular labyrinth side weir in curved channelsAdvances in Engineering Software10.1016/j.advengsoft.2011.02.00642:4(208-214)Online publication date: 1-Apr-2011
https://dl.acm.org/doi/10.1016/j.advengsoft.2011.02.006

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