| 1 |
S. Raid, J. Mania, L. Bouchaou, and Y. Najjar, "Predicting catchment flow in a semi-arid region via an artificial neural network," Hydrological Processes, vol. 18, 2004, pp. 2387-2393.
DOI
|
| 2 |
L. H. C. Chua and T. S. W. Wong, "Improving event-based rainfall-runoff modeling using a combined artificial neural network-kinematic wave approach," Journal of Hydrology, vol. 390, 2010, pp. 92-107.
DOI
|
| 3 |
S. H. Oh and H. Wakuya, "Hydrological modeling of water level near Hahoe Village based on multi-layer perceptron," International Journal of Contents, vol. 12, 2016, pp. 49-53.
|
| 4 |
D. E. Rumelhart and J. L. McClelland, Parallel Distributed Processing, Cambridge, MA, 1986.
|
| 5 |
F. J. Chang, P. A. Chen, Y. R. Ku, E. Huang, and K. Y. Chang, "Real-time multi-step ahead water level forecasting by recurrent neural networks for urban flood control," Journal of Hydrology, vol. 517, 2014, pp.836-846.
DOI
|
| 6 |
S. H. Oh, "Error back-propagation algorithm for classification of imbalanced data," Neurocomputing, vol. 74, 2011, pp. 1058-1061.
DOI
|
| 7 |
S. H. Oh, "Improving the error back-propagation algorithm with a modified error function," IEEE Trans. Neural Networks, vol.8, 1997, pp. 799-803.
DOI
|
| 8 |
S. H. Oh, "Improving the water level prediction of multi-layer perceptron with a modified error function," Internation Journal of Contents, vol. 13, 2017, pp. 23-28.
|
| 9 |
X. Glorot, A. Bordes, and Y. Bengio, "Deep sparse rectifier neural networks," Proc. The 14th AISTATS, Fort Lauderdale, FL, USA, vol. 15, 2011, pp. 315-323.
|
| 10 |
K. Hornik, M. Stinchcombe, and H. White, "Multilayer Feed-forward Networks are Universal Approximators," Neural Networks, vol. 2, 1989, pp. 359-366.
DOI
|
| 11 |
K. Hornik, "Approximation Capabilities of Multilayer Feedforward Networks," Neural Networks, vol. 4, 1991, pp. 251-257.
DOI
|
| 12 |
S. Suzuki, "Constructive Function Approximation by Three-Layer Artificial Neural Networks," Neural Networks, vol. 11, 1998, pp. 1049-1058.
DOI
|
| 13 |
C. Phua, D. Alahakoon, and V. Lee, "Minority report in fraud detection: classification of skewed data," ACM SIGKDD Explorations Newsletter, vol. 6, issue. 1, 2004, pp. 50-59.
DOI
|
| 14 |
C. M. Bishop, Pattern Recognition and Machine Learning, Springer Science+Business Media LLC, 2006.
|
| 15 |
T. L. Lee, "Back-propagation neural networks for longterm tidal predictions," Ocean Engineering, vol. 31, 2004, pp. 225-238.
DOI
|
| 16 |
F. Altiparmak, B. Dengiz, and A. E. Smith, "A general neural network model for estimating telecommunications network reliability," IEEE Trans. Reliability, vol. 58, issue. 1, 2009, pp. 2-9.
DOI
|
| 17 |
I. Kaaastra and M. Boyd, "Designing a neural network for forecasting financial and economic time series," Neurocomputing, vol. 10, issue. 3, 1996, pp. 215-236.
DOI
|
| 18 |
Y. LeCun, Y. Bengio, and G. Hinton, "Deep Learning," Nature, vol. 521, 2015, pp. 436-444.
DOI
|
| 19 |
T. L. Lee, "Predictions of typhoon storm surge in Taiwan using artificial neural networks," Advances in Engineering Software, vol. 40, 2009, pp. 1200-1206.
DOI
|
| 20 |
T. L. Lee, "Back-propagation neural network for the prediction of the short-term storm-surge in Taichung harbor, Taiwan," Engineering Applications of Artificial Intelligence, vol. 21, 2008, pp. 63-72.
DOI
|
| 21 |
S. Lee and D. G. Evangelista, "Earthquake-induced landslide-susceptibility mapping using an artificial neural network," Natural Hazards and Earth System Sciences, vol. 6, 2006, pp. 687-695.
DOI
|
| 22 |
B. Pradhan and S. Lee, "Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models," Environ Earth Sci., vol. 60, 2010, pp. 1037-1054.
DOI
|
| 23 |
H. L. Cloke and F. Pappenberger, "Ensemble flood forecasting: A review," Journal of Hydrology, vol. 375, 2009, pp. 613-626.
DOI
|
| 24 |
L. H. Feng and J. Lu, "The practical research on flood forecasting based on artificial neural networks," Expert Systems with Applications, vol. 37, 2010, pp. 2974-2977.
DOI
|
| 25 |
Y. Wei, W. Xu, Y. Fan, and H.-T. Tasi, "Artificial neural network based predictive method for flood disaster," Computers & Industrial Engineering, vol. 42, 2002, pp. 383-390.
DOI
|
| 26 |
D. Demeritt, H. Cloke, F. Pappenberger, J. Thienlen, J. Bartholmes, and M. H. Ramos, "Ensemble predictions and perceptions of risks, uncertainty, and error in flood forecasting," Environmental Hazards, vol. 7, no. 2, 2007, pp.115-127.
DOI
|
| 27 |
A. de Roo, B. Gouweleeuw, J. Thielen, J. Bartholmes, P. Bongioannini-Cerlini, E. Todini, P. D. Bates, M. Horritt, N. Hunter, K. Beven, F. Pappenberger, E. Heise, G. Rivin, M. Hils, A. Hollingsworth, B. Holst, J. Kwadijk, P. Reggiani, M. Van Dijk, K. Sattler, and E. Sprokkereef, "Development of a European flood forecasting system," International Journal of River Basin Management, vol. 1, 2003, pp. 49-59.
DOI
|
| 28 |
C. W. Dawson and R. L. Wilby, "Hydrological modeling using artificial neural networks," Progress in Physical Geography, vol. 25, 2001, pp. 80-108.
DOI
|
| 29 |
A. Atiya and S. Shaheen, "A comparison between neuralnetwork forecasting techniques-case study: river flow forecasting," IEEE Trans. Neural Networks, vol. 10, no. 2, 1999, pp. 402-409.
DOI
|
| 30 |
C. W. Dawson, R. J. Abrahart, A. Y. Shamseldin, and R. L. Wilby, "Flood estimation at ungauged sites using artificial neural networks," Journal of Hydrology, vol. 319, 2006, pp. 391-409.
DOI
|
| 31 |
M. P. Rajurkar, U. C. Kothyari, and U. C. Chaube, "Modelling of the daily rainfall-runoff relationship with artificial neural network," Journal of Hydrology, vol. 285, 2004, pp. 96-113.
DOI
|
| 32 |
S. Raid, J. Mania, L. Bouchaou, and Y. Najjar, "Rainfall-runoff model using an artificial neural network approach," Mathematical and Computer Modelling, vol. 40, 2004, pp. 839-846.
DOI
|
webmaster
