تخمین ضریب دبی سرریزهای کنگره‌ای با استفاده از ماشین آموزش نیرومند خود تطبیقی

Akhbari A, Zaji AH, Azimi H and Vafaeifard M, 2017. Predicting the discharge coefficient of triangular plan form weirs using radian basis function and M5’methods. Journal of Applied Research in Water and Wastewater 4(1): 281-289.

Azamathulla HM, Ahmad Z and AB-Ghani A, 2013. Computation of discharge through side sluice gate using gene-expression programming. Irrigation and Drainage 62: 115–119.

Azimi H, Bonakdari H and Ebtehaj I, 2017a. A highly efficient gene expression programming model for predicting the discharge coefficient in a side weir along a trapezoidal canal. Irrigation and Drainage 66(4): 655-666.

Azimi H, Bonakdari H and Ebtehaj I, 2017b. Sensitivity analysis of the factors affecting the discharge capacity of side weirs in trapezoidal channels using extreme learning machines. Flow Measurement and Instrumentation 54: 216-223.

Cao J, Lin Z and Huang GB, 2012. Self-adaptive evolutionary extreme learning machine. Neural Processing Letters 36(3): 285-305.

Carollo FG, Ferro V and Pampalone V, 2017. Testing the Outflow Process over a Triangular Labyrinth Weir. Journal of Irrigation and Drainage Engineering 143(8): 06017007-17.

Dursun OF, Kaya N and Firat M, 2012. Estimating discharge coefficient of semi-elliptical side weir using ANFIS. Journal of Hydrology 426-427: 55-62.

Huang GB, Zhu QY and Siew CK, 2004. Extreme learning machine: A new learning scheme of feedforward neural networks. Pp. 985–990. Proceedings of International Joint Conference on Neural Networks. July 25–29, Budapest, Hungary.

Kisi O, Emiroglu ME, Bilhan O and Guven A, 2012. Prediction of lateral outflow over triangular labyrinth side weirs under subcritical conditions using soft computing approaches. Expert Systems with Applications 39: 3454–3460.

Kumar S, Ahmad Z and Mansoor T, 2011. A new approach to improve the discharging capacity of sharp-crested triangular plan form weirs. Journal of Flow Measurement and Instrumentation 22(3): 175-180.

Qin AK, Huang VL and Suganthan PN, 2009. Differential evolution algorithm with strategy adaptation for global numerical optimization. IEEE Transactions on Evolutionary Computation 13(2): 398–417.

Roushangar K, Alami MT, Majedi Asl M and Shiri J, 2017. Modeling discharge coefficient of normal and inverted orientation labyrinth weirs using machine learning techniques. ISH Journal of Hydraulic Engineering 23(3): 331-340.

Storn R and Price K, 1997. Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization 11(4): 341-359.

Tullis BP, Young JC and Chandler MA, 2007. Head-discharge relationships for submerged Labyrinth weirs. Journal of Hydraulic Engineering 133(3): 248-253.