## Nomenclature  
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* [PERSON] et al. (2015) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] The study of measurement and calculation method on river discharge. _China Rural. Water Hydropower_**2015**, \(6\), 70-74. * [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON] The application and improvement of the free--Flow discharge coefficient formulas at the Huaidian Sluice. _China Rural. Water Hydropower_**2019**, \(7\), 129-133. * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON] Uniform flow rate calibration model for flat gate under free-submerged orifice flow. _Trans. Chin. Soc. Agric. Eng._**2020**, _36_, 197-204. * [PERSON] et al. (2002) [PERSON]; [PERSON]; [PERSON] Influence of sluice gate contraction coefficient on distinguishing condition. _J. Irrig. Drain. Eng._**2002**, _128_, 249-252. [CrossRef]
* [PERSON] (2000) [PERSON] Simultaneous flow over and under a gate. _J. Irrig. Drain. Eng._**2000**, _126_, 190-193. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] Prediction of discharge coefficient for cylindrical weirs using adaptive neuro fuzzy inference system ANFIS and multilayer neural networks MLP. _Int. J. Appl. Eng. Res._**2018**, _13_, 7042-7051. * [PERSON] (2014) [PERSON] Study on Stage-Discharge Relationship Based on Neural Network. Master's Thesis, Nanchang University, Nanchang, China, 2014. * [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Using GA-RBF neural network model to calculate the diversion capability of the Weishan sluice. _J. Irrig. Drain._**2021**, _40_, 100-104, 139. * [PERSON] and [PERSON] (2019) [PERSON]; [PERSON] Discharge characteristics of weir-orifice and weir-gate structures. _J. Irrig. Drain. Eng._**2019**, _145_, 04019025. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]. Investigation of free flow under the sluice gate with the sill using Flow-3D model. _Iran. J. Sci. Technol. Trans. Civ. Eng._**2020**, _44_, 317-324. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON] A GA-BP Neural Network Regression Model for Predicting Soil Moisture in Slope Ecological Protection. _Sustainability_**2022**, _14_, 1386. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON] Prediction of waterway cargo transportation volume to support maritime transportation systems based on GA-BP neural network optimization. _Sustainability_**2022**, _14_, 13872. [CrossRef]
* [PERSON] et al. (2014) [PERSON]; [PERSON]; [PERSON]; [PERSON] Simulation and parameter optimization of flux cored arc welding using artificial neural network and particle swarm optimization algorithm. _J. Intell. Manuf._**2014**, _25_, 67-76. [CrossRef]
* [PERSON] (2020) [PERSON] Study on Hazard Assessment of Landshide in Sichuan Province Based on BP Neural Network and Optimized Algorithm. Master's Thesis, Southwest Jiaotong University, Chengdu, China, 2020. * [PERSON] and [PERSON] (2005) [PERSON]; [PERSON] Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance. _Clim. Res._**2005**, _30_, 79-82. [CrossRef]
* [PERSON] and [PERSON] (2020) [PERSON]; [PERSON] [PERSON] Expert system for determining discharge coefficients for inclined slide gates using genetic programming. _J. Irrig. Drain. Eng._**2020**, _146_, 06020013. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON] Using data mining methods to improve discharge coefficient prediction in Piano Key and Labyrinth weirs. _Water Supply_**2021**, _22_, 1964-1982. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] An efficient hybrid greywolf optimization based KELM approach for prediction of the discharge coefficient of submerged radial gates. _Soft Comput._**2021**, _27_, 3623-3640. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON] Application of SVM, ANN, GRNN, RF, GP and RT models for predicting discharge coefficients of oblique sluice gates using experimental data.