Application of Evolutionary Algorithm to Optimization of ANNIS Model for Discharge Coefficient Circular Side Spillway Modeling

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Asadi M. Javad; SHABANLOU S.; NAJARCHI M.; Najafizadeh M. M.

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Journal: Journal of Water and Soil Science Year:2019 | Volume:23 | Issue:3 Page(s): 183-196

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Title

Application of Evolutionary Algorithm to Optimization of ANNIS Model for Discharge Coefficient Circular Side Spillway Modeling

Author(s)

Asadi M. Javad | SHABANLOU S. | NAJARCHI M. | Najafizadeh M. M. | Issue Writer Certificate

Keywords

ANFISQ1

Hybrid modelQ1

OptimizationQ2

Circular side orificesQ1

Discharge coefficientQ1

Abstract

In this study, the Discharge coefficient of the Circular side orifices was predicted using a new hybrid method. Combinations made in this study were divided into two sections: 1) the combination of two algorithms including Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) and providing the PSOGA algorithm 2) using the PSOGA algorithm in order to optimize the Adaptive Neuro Fuzzy Inference Systems (ANFIS) network and providing the ANFIS-PSOGA method. Next, by identifying the parameters affecting on the Discharge coefficient of the Circular side orifices, 11 different combinations were provided. Then, the sensitivity analysis conducted by ANFIS showed that the Froude number and the ratio of the flow depth to the orifice diameter (Ym/D) were identified as the most effective parameters in modeling the Discharge coefficient. Also, the best combination including the Froude number (Fr), the ratio of the main channel width to the side orifice diameter (B/D), the ratio of the orifice crest height to its diameter (W/D) and the ratio of the flow depth to the orifice diameter (Ym/D) for estimating the Discharge coefficient was introduced. For this model, the values of Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE) and correlation coefficient (R) were obtained 0. 021, 0. 020 and 0. 871, respectively. Additionally, the performance of the ANFIS-PSOGA method was compared with the ANFIS-PSO and ANFIS methods. The results showed that the ANFISPSOGA method for predicting the Discharge coefficient was the superior model

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APA: Copy

Asadi, M. Javad, SHABANLOU, S., NAJARCHI, M., & Najafizadeh, M. M.. (2019). Application of Evolutionary Algorithm to Optimization of ANNIS Model for Discharge Coefficient Circular Side Spillway Modeling. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), 23(3 ), 183-196. SID. https://sid.ir/paper/365825/en

Vancouver: Copy

Asadi M. Javad, SHABANLOU S., NAJARCHI M., Najafizadeh M. M.. Application of Evolutionary Algorithm to Optimization of ANNIS Model for Discharge Coefficient Circular Side Spillway Modeling. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES)[Internet]. 2019;23(3 ):183-196. Available from: https://sid.ir/paper/365825/en

IEEE: Copy

M. Javad Asadi, S. SHABANLOU, M. NAJARCHI, and M. M. Najafizadeh, “Application of Evolutionary Algorithm to Optimization of ANNIS Model for Discharge Coefficient Circular Side Spillway Modeling,” WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), vol. 23, no. 3 , pp. 183–196, 2019, [Online]. Available: https://sid.ir/paper/365825/en

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