Using artificial neural networks (ANN) for real time flood forecasting, the Omo River case in southern Ethiopia

Summer Computer Simulation Conference 2007, SCSC'07, Part of the 2007 Summer Simulation Multiconference, SummerSim'07

Volumn 2, Issue , 2007, Pages 1427-1433

  Ayalew, Lulseged ^a   Möller, Dietmar P F ^a   Reik, Gerhard ^b  

^a UNIVERSITY OF HAMBURG   (Germany)

^b CLAUSTHAL UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Back propagation; Ethiopia; Flood forecasting; Neural networks; Omo River

Indexed keywords

COEFFICIENT OF CORRELATION; COEFFICIENT OF DETERMINATION; CROSS VALIDATION; ETHIOPIA; FLOOD EVENT; FLOOD FORECASTING; FLOOD FORECASTING MODELS; FLOOD HYDROGRAPHS; PERFORMANCE CRITERION; REAL TIME FLOOD FORECASTING; ROOT MEAN SQUARE ERRORS; RUNOFF PREDICTION; TIME TO PEAK;

BACKPROPAGATION; COMPUTER SIMULATION; FLOOD CONTROL; FORECASTING; MEAN SQUARE ERROR; NEURAL NETWORKS; RIVERS; RUNOFF;

FLOODS;

EID: 84870176275     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Haykin, S., 1994. Neural networks. Macmillan College Publishing Company, Englewood Cliffs, NJ.
2. Karunanithi, N., Grenney, W.J., Whitley, D., Bovee, K., 1994, "Neural Networks for River Flow Prediction", Jour. Computing in Civil Eng., ASCE, 8(2), 201-220.
3. Priddy, L. K., Keller, E.P., 2005. Artificial neural networks, an introduction. SPIE Press, Bellingham, Washington.
4. Rumelhart, D.E., Hinton, G.E., Williams, R.J., 1986, "Learning Internal Representations by Error Propagation", Parallel Distributed Processing, 1, MIT Press, Cambridge, 318-362.
5. Zhu, M., Fujita, M., Hashimoto, N., 1994, "Application of Neural Networks to Runoff Prediction", Stochastic and Statistical Methods in Hydrology and Environmental Engineering, Hipel, K.W. (ed.), Kluwer, Dordrecht, the Netherlands, 3, 205-216.