Application of Artificial Neural Network to Forecast the Water Level at Xuan Quan Culvert in Vietnam

Author:

Hoang Truong Viet,Huong Doan Mai,Huy Tran Duc,Ho Hung Viet

Publisher

Springer Singapore

Reference9 articles.

1. Akhilesh (2019). Correlation Coefficient. Retrieved from https://www.investopedia.com/terms/c/correlationcoefficient.asp

2. Asaad, Y. S. (2010). Artificial neural network model for river flow forecasting in a developing country. Journal of Hydroinformatics, 12.1.

3. Chen, J.F., Hsieh, H.N., and Do, Q.H. (2014). Forecasting Hoabinh Reservoir’s Incoming Flow: An Application of Neural Networks with the Cuckoo Search Algorithm. Information. 5, 570-586.

4. Le, X.H., and Ho, V.H. (2018). Application of Long Short-term Memory to forecast water level at Quang Phuc and Cua Cam Stations at Hai Phong, Viet Nam. Journal of Water Resources and Environmental Engineering.

5. M. R. Mustafa, M. H. Isa, R. B. Rezaur (2012). Artificial Neural Networks Modeling in Water Resources Engineering: Infrastructure and Applications. World Academy of Science, Engineering and Technology International Journal of Civil and Environmental Engineering, 6(2).

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