Applying Recurrent Fuzzy Neural Network to Predict the Runoff of Srepok River

1. Duong, H.N., Tran, Q.M., Dang, K.T.: Extendable Library of Basic Data Mining Algorithms. In: Proc. of the 11st Conference on Science & Technology, Ho Chi Minh City University of Technology (2009)

   Google Scholar 

2. Nguyen, Q.T.N., Bui, L.T., Duong, H.N.: Assessment the impacts of land use and climate change on water discharge of Srepok river watershed. In: Proc. of the 34th Asian Conference on Remote Sensing, pp. 152–164 (2013)

   Google Scholar 

3. Pham, N.T.H., Ha, H.T.: How to apply artificial neural network for predicting warter level of Hoa Binh Lake before 10 days. In: Proc of the 10th Conference of Selected Issues in Communication and Information Technology (2007)

   Google Scholar 

4. Nguyen, S.T., Ngo, C.T., Van, H.T., Nguyen, N.Y.: Impact of climate change on water resource of NHUE River basin. In: 27th HaNoi National University Magazine of Science, pp. 218–226 (2011)

   Google Scholar 

5. Tran, X.T., Hoang, T.M., Le, N.T., Luong, D.H.: Impact of climate change on river runoff. In: 8th Magazine of Science Presentation Selection, pp. 146–153 (2011)

   Google Scholar 

6. Duong, H.N.: Using RFNN to Predict Price of Products in Market”. In: Proc. of the 9st Conference on Science & Technology, HCM University of Technology (2006)

   Google Scholar 

7. Nguyen, T.D.: Applying artificial neural network to predict rainfall and runoff to prevent and restrict drought in Viet Nam High Land basin rivers. Journal of Science and Engineering of Water Resource and Environment 22 (2008)

   Google Scholar 

8. Kim, U., Kaluarachchi, J.J., Smakhtin, V.U.: Climate Change Impacts on Hydrology and Water Resources of the Upper Blue Nile River Basin, Ethiopia. In: IWMI Research Report, 126 (2008)

   Google Scholar 

9. Can, I., Yerdelen, C., Kahya1, E.: Stochastic modeling of Karasu River (Turkey) using the methods of Artificial Neural Networks. In: Proc. of the AGU Hydrology Days, pp. 138–144 (2007)

   Google Scholar 

10. Besaw, L.E., Rizzo, D.M., Bierman, P.R., Hackett, W.R.: Advances in ungauged stream flow prediction using artificial neural networks. Journal of Hydrology 386, 27–37 (2010)

    Article  Google Scholar 

11. Lekkas, D.F., Onof, C.: Improved flow forecasting using artificial neural networks. In: Proc. of 9th International Conference on Environmental and Technology, pp. 877–884 (2005)

    Google Scholar 

12. Nazif, S., Karamouz, M., Zahmatkesh, Z.: Climate Change Impacts on Runoff Evaluation: A Case Study. In: World Environmental and Water Resources Congress, pp. 3350–3360 (2012)

    Google Scholar 

13. Razavi, S., Araghinejad, S.: Reservoir Inflow Modeling Using Temporal Neural Networks with Forgetting Factor Approach, Water Resour Manage. International Journal of Water Resource Management 23, 39–55 (2009)

    Article  Google Scholar 

14. Mardookhpour, A.: Prediction of stream flow by utilizing artificial neural network in floodplain (Case study: Sepidroud watershed). International Journal of Forest, Soil and Erosion (2013)

    Google Scholar 

15. Lekkas, D.F.: Development and Comparison of Data-Based Flow Forecasting Methods. PhD Thesis, Department of Civil and Environmental Engineering. Imperial College of Science, Technology and Medicine (2002)

    Google Scholar 

16. Santhi, C., Arnold, J.G., Williams, J.R., Dugas, W.A., Srinivasan, R., Hauck, L.M.: Validation of the SWAT model on the large river basin with point and nonpoint sources. Journal of American Water Resources Association 37, 1169–1188 (2001)

    Article  Google Scholar 

17. Shudong, Z., Weiguang, L., Jun, N., Guangzhi, W., Lina, Z.: Combined Method of Chaotic Theory and Neural Networks for Quality Prediction. Journal of Northeast Agricultural University 17, 71–76 (2010)

    Google Scholar 

Download references