-
1
-
-
0033097707
-
A comparison between neural-network forecasting techniques - case study: River flow forecasting
-
Atiya, A. F., El-Shoura, S. M., Shaheen, S. I., and El-Sherif, M. S.: A Comparison Between Neural-Network Forecasting Techniques - Case Study: river Flow Forecasting, IEEE T. Neural Networ., 10(2), 402-409, 1999.
-
(1999)
IEEE T. Neural Networ.
, vol.10
, Issue.2
, pp. 402-409
-
-
Atiya, A.F.1
El-Shoura, S.M.2
Shaheen, S.I.3
El-Sherif, M.S.4
-
6
-
-
0001922283
-
Neural network training tips and techniques
-
January 1991
-
Caudill, M.: Neural network training tips and techniques, Al Expert, Vol. 6, No. 1, January 1991, 56-61, 1991.
-
(1991)
Al Expert
, vol.6
, Issue.1
, pp. 56-61
-
-
Caudill, M.1
-
7
-
-
33748929857
-
Particle swarm optimization training algorithm for ANNs in stage prediction of Shing Mun River
-
DOI 10.1016/j.jhydrol.2006.02.025, PII S0022169406001090
-
Chau, K. W.: Particle swarm optimization training algorithm for ANNs in stage prediction of Shing Mun River, J. Hydrol., 329(3- 4), 363-367, 2006. (Pubitemid 44436228)
-
(2006)
Journal of Hydrology
, vol.329
, Issue.3-4
, pp. 363-367
-
-
Chau, K.W.1
-
8
-
-
0036845179
-
Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall-runoff model calibration
-
DOI 10.1016/S0022-1694(02)00122-1, PII S0022169402001221
-
Cheng, C. T., Ou, C. P., and Chau, K. W.: Combining a fuzzy optimal model with a genetic algorithm to solve multiobjective rainfall-runoff model calibration, J. Hydrol., 268(1-4), 72-86, 2002. (Pubitemid 35307223)
-
(2002)
Journal of Hydrology
, vol.268
, Issue.1-4
, pp. 72-86
-
-
Cheng, C.T.1
Ou, C.P.2
Chau, K.W.3
-
9
-
-
28544440088
-
Multiple criteria rainfallrunoff model calibration using a parallel genetic algorithm in a cluster of computer
-
Cheng, C. T.,Wu, X. Y., and Chau, K.W.: Multiple criteria rainfallrunoff model calibration using a parallel genetic algorithm in a cluster of computer, Hydrolog. Sci. J., 50(6), 1069-1087, 2005.
-
(2005)
Hydrolog. Sci. J.
, vol.50
, Issue.6
, pp. 1069-1087
-
-
Cheng, C.T.1
Wu, X.Y.2
Chau, K.W.3
-
10
-
-
80255140613
-
Time series prediction based on ensemble ANFIS
-
Cheni, D. W. and Zhang, J. P.: Time series prediction based on ensemble ANFIS, Proceedings Of The Fourth International Conference On Machine Learning And Cybernetics, Guangzhou, 18-21, 2005.
-
(2005)
Proceedings Of The Fourth International Conference On Machine Learning And Cybernetics, Guangzhou
, pp. 18-21
-
-
Cheni, D.W.1
Zhang, J.P.2
-
11
-
-
84971673169
-
-
Chiewchanwattana, S., Lursinsap, C., and Chu, C. H.: Timeseries Data Prediction Based On Reconstruction Of Missing Samples And Selective Ensembling Of FIR Neural Networks, Proceedings Of The 9th International Conference On Neural Information Processing, 2002.
-
(2002)
Timeseries Data Prediction Based On Reconstruction Of Missing Samples And Selective Ensembling Of FIR Neural Networks Proceedings Of The 9th International Conference On Neural Information Processing
-
-
Chiewchanwattana, S.1
Lursinsap, C.2
Chu, C.H.3
-
12
-
-
0343360188
-
Applications of Kalman filter to hydrology, hydraulics, and water resources
-
Pittsburgh, Pittsburgh, May 22-24, 1978, Dept. of Civil Engineering, University of Pittsburgh Press
-
Chiu, C. L. (Ed.): Applications of Kalman filter to hydrology, hydraulics, and water resources, Proceedings of AGU Chapman Conference, Pittsburgh, Pittsburgh, May 22-24, 1978, Dept. of Civil Engineering, University of Pittsburgh Press, 1978.
-
(1978)
Proceedings of AGU Chapman Conference
-
-
Chiu, C.L.1
-
13
-
-
0033345424
-
-
In International Joint Conference On Neural Networks, Proceedings Ijcnn'99, Washington DC
-
Coulibaly, P. and Anctil, F.: Real-Time Short-Term Natural Water Inflows Forecasting Using Recurrent Neural Networks, In International Joint Conference On Neural Networks, Proceedings Ijcnn'99, Washington DC, 6, 3802-3805, 1999.
-
(1999)
Real-Time Short-Term Natural Water Inflows Forecasting Using Recurrent Neural Networks
, vol.6
, pp. 3802-3805
-
-
Coulibaly, P.1
Anctil, F.2
-
14
-
-
0342532702
-
Real time neural network- based forecasting system for hydropower reservoirs
-
Coulibaly, P., Anctil, F., and Bobée, B.: Real Time Neural Network- Based Forecasting System For Hydropower Reservoirs, In First Int. Conf. On New Inform. Tech. For Decision Making In Civil Eng., Montreal, 1001-1011, 1998.
-
(1998)
First Int. Conf. On New Inform. Tech. For Decision Making In Civil Eng., Montreal
, pp. 1001-1011
-
-
Coulibaly, P.1
Anctil, F.2
Bobée, B.3
-
15
-
-
0034621379
-
Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
-
DOI 10.1016/S0022-1694(00)00214-6, PII S0022169400002146
-
Coulibaly, P., Anctil, F., and Bobée, B.: Daily Reservoir Inflow Forecasting Using Artificial Neural NetworksWith Stopped Training Approach, J. Hydrology, Vol. 230, 244-257, 2000. (Pubitemid 30319494)
-
(2000)
Journal of Hydrology
, vol.230
, Issue.3-4
, pp. 244-257
-
-
Coulibaly, P.1
Anctil, F.2
Bobee, B.3
-
16
-
-
0035450182
-
Multivariate reservoir inflow forecasting using temporal neural networks
-
DOI 10.1061/(ASCE)1084-0699(2001)6:5(367)
-
Coulibaly, P., Anctil, F., and Bobée, B.: Multivariate Reservoir Inflow Forecasting Using Temporal Neural Networks, ASCE Journal Of Hydrologic Engineering, 65, 367-376, 2001. (Pubitemid 32818650)
-
(2001)
Journal of Hydrologic Engineering
, vol.6
, Issue.5
, pp. 367-376
-
-
Coulibaly, P.1
Anctil, F.2
Bobee, B.3
-
17
-
-
0001337304
-
Boosting and other ensemble methods
-
Drucker, H., Cortes, C., Jackel, D.: Boosting And Other Ensemble Methods, Neural Computation, 6, 1289-1301, 1994.
-
(1994)
Neural Computation
, vol.6
, pp. 1289-1301
-
-
Drucker, H.1
Cortes, C.2
Jackel, D.3
-
18
-
-
0003922190
-
-
Second Edition: Wiley Interscience, NY, USA
-
Duda, R. O., Hart, P. E., and Stork, D. G.: Pattern Classification, Second Edition: Wiley Interscience, NY, USA, 2001.
-
(2001)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
19
-
-
33947693294
-
A neuro-fuzzy model for inflow forecasting of the Nile river at Aswan high dam
-
DOI 10.1007/s11269-006-9027-1
-
El-Shafie, A., Reda Taha, M., and Noureldin, A.: A Neuro-Fuzzy Model For Inflow Forecasting Of The Nile River At Aswan High Dam, Water Resour Manag, Springer, 21(3), 533-556, 2007. (Pubitemid 46486947)
-
(2007)
Water Resources Management
, vol.21
, Issue.3
, pp. 533-556
-
-
El-Shafie, A.1
Taha, M.R.2
Noureldin, A.3
-
20
-
-
63049105407
-
Neural network model for nile river inflow forecasting based on correlation analysis of historical inflow data
-
El-Shafie, A., Noureldin A., Taha, R. M., and Basri, H.: Neural Network Model For Nile River Inflow Forecasting Based On Correlation Analysis Of Historical Inflow Data, J. Appl. Sci., J. Appl. Sci., 8(24), 4487-4499, 2008.
-
(2008)
J. Appl. Sci., J. Appl. Sci.
, vol.8
, Issue.24
, pp. 4487-4499
-
-
El-Shafie, A.1
Noureldin, A.2
Taha, R.M.3
Basri, H.4
-
21
-
-
69249208624
-
Enhancing inflow forecasting model at aswan high dam utilizing radial basis neural network and upstream monitoring stations measurements
-
Springer
-
El-Shafie, A., Abdin, A., Noureldin, A., and Taha, R. M.: Enhancing Inflow Forecasting Model At Aswan High Dam Utilizing Radial Basis Neural Network And Upstream Monitoring Stations Measurements, Water Resour. Manag., Springer, 23(11), 2289-2315, 2009.
-
(2009)
Water Resour. Manag.
, vol.23
, Issue.11
, pp. 2289-2315
-
-
El-Shafie, A.1
Abdin, A.2
Noureldin, A.3
Taha, R.M.4
-
23
-
-
79952659406
-
-
Technical Project Report to the Egyptian Ministry of Public Works and Water Resources School of Civil and Environmental Engineering, Georgia Tech, Atlanta, USA
-
Georgakakos, A. and Yao, H.: Inflow forecasting models for the High Aswan Dam, Technical Project Report to the Egyptian Ministry of Public Works and Water Resources School of Civil and Environmental Engineering, Georgia Tech, Atlanta, USA, 1995.
-
(1995)
Inflow Forecasting Models for the High Aswan Dam
-
-
Georgakakos, A.1
Yao, H.2
-
24
-
-
84882564197
-
Decision support systems for integrated water resources management with an application to the Nile basin
-
Ch. 5, edited by: Castelletti, A. and Soncini-Sessa, R., Elsevier, The Netherlands
-
Georgakakos, A.: Decision support systems for integrated water resources management with an application to the Nile basin, Ch. 5, in: Topics on System Analysis and IntegratedWater Resources Management, edited by: Castelletti, A. and Soncini-Sessa, R., Elsevier, The Netherlands, 2007.
-
(2007)
Topics on System Analysis and IntegratedWater Resources Management
-
-
Georgakakos, A.1
-
25
-
-
0025507332
-
On the decision regions of multilayer perceptrons
-
Gibson, G. J. and Cowan, C. F. N.: On The Decision Regions Of Multilayer Perceptrons, Proceedings Of The IEEE, 78(10), 1590-1594, 1990.
-
(1990)
Proceedings Of The IEEE
, vol.78
, Issue.10
, pp. 1590-1594
-
-
Gibson, G.J.1
Cowan, C.F.N.2
-
27
-
-
0001938874
-
Neural network and its application to rainfall-runoff forecasting
-
Kang, K. W., Park, C. Y., and Kim, J. H.: Neural Network And Its Application To Rainfall-Runoff Forecasting, Korean Journal Of Hydrosciences, 4, 1-9, 1993.
-
(1993)
Korean Journal Of Hydrosciences
, vol.4
, pp. 1-9
-
-
Kang, K.W.1
Park, C.Y.2
Kim, J.H.3
-
28
-
-
0019228050
-
Adaptive filtering through detection of isolated transient errors in rainfall-runoff models
-
Kitanidis, P. K. and Bras, R. L.: Adaptive filtering through detection of isolated transient errors in rainfall-runoff models, Water Resour. Res., 16(4), 740-748, 1980a.
-
(1980)
Water Resour. Res.
, vol.16
, Issue.4
, pp. 740-748
-
-
Kitanidis, P.K.1
Bras, R.L.2
-
29
-
-
0019227947
-
Real-time forecasting with a conceptual hydrological model: 1. analysis of uncertainty
-
Kitanidis, P. K. and Bras, R. L.: Real-time forecasting with a conceptual hydrological model: 1. analysis of uncertainty,Water Re sour. Res., 16(6), 1025-1033, 1980b.
-
(1980)
Water Re sour. Res.
, vol.16
, Issue.6
, pp. 1025-1033
-
-
Kitanidis, P.K.1
Bras, R.L.2
-
30
-
-
33746830757
-
Using support vector machines for long-term discharge prediction
-
Lin, J. Y., Cheng, C. T., and Chau, K. W.: Using support vector machines for long-term discharge prediction, Hydrolog. Sci. J., 51(4), 599-612, 2006.
-
(2006)
Hydrolog. Sci. J.
, vol.51
, Issue.4
, pp. 599-612
-
-
Lin, J.Y.1
Cheng, C.T.2
Chau, K.W.3
-
31
-
-
0031090791
-
Data modelling with neural networks: Advantages and limitations
-
Livingstone, D. J., Manallack, D. T., and Tetko, I. V.: Data Modeling With Neural Networks: Advantages And Limitations, J. Comput. Aid. Mol. Des., 11(2), 135-142, 1997. (Pubitemid 127508824)
-
(1997)
Journal of Computer-Aided Molecular Design
, vol.11
, Issue.2
, pp. 135-142
-
-
Livingstone, D.J.1
Manallack, D.T.2
Tetko, I.V.3
-
32
-
-
0016985128
-
A stable estimator for linear models: 2. real world hydrologic applications
-
Natale, L. and Todini, E.: A stable estimator for linear models: 2. real world hydrologic applications, Water Resour. Res., 12(4), 672-676, 1976.
-
(1976)
Water Resour. Res.
, vol.12
, Issue.4
, pp. 672-676
-
-
Natale, L.1
Todini, E.2
-
33
-
-
0026827812
-
Using and designing massively parallel computers for artificial neural networks
-
Nordström, T. and Svensson, B.: Using and Designing Massively Parallel Computers For Artificial Neural Networks, J. Parallel Distr. Com., 14(3), 260-285, 1992.
-
(1992)
J. Parallel Distr. Com.
, vol.14
, Issue.3
, pp. 260-285
-
-
Nordström, T.1
Svensson, B.2
-
34
-
-
0026711368
-
Improving the convergence of the backpropagation algorithm
-
Ooyen, V. and Nienhuis, B.: Improving The Convergence Of The Backpropagation Algorithm, Neural Networks, 5, 465-471, 1992.
-
(1992)
Neural Networks
, vol.5
, pp. 465-471
-
-
Ooyen, V.1
Nienhuis, B.2
-
35
-
-
84872548900
-
Early stopping but when?, Lecture notes in computer science
-
Prechelt, L.: Early Stopping But When?, Lecture Notes In Computer Science, Neural Networks: Tricks Of The Trade, 1524, 55-69, 1998.
-
(1998)
Neural Networks: Tricks Of The Trade
, vol.1524
, pp. 55-69
-
-
Prechelt, L.1
-
37
-
-
0344151549
-
Applied modeling hydrological time series
-
P.O. Box 2841, Littleton, Colorado, USA
-
Salas, J. D., Delleur, J. W., Yevjevich, V., and Lane, W. L.: Applied Modeling Hydrological Time Series, Water Resources Publications, P.O. Box 2841, Littleton, Colorado, 80161, USA, 1980.
-
(1980)
Water Resources Publications
, pp. 80161
-
-
Salas, J.D.1
Delleur, J.W.2
Yevjevich, V.3
Lane, W.L.4
-
39
-
-
0001259758
-
Overfitting avoidance as bias
-
Schaffer, C.: Overfitting Avoidance As Bias, Machine Learning, 10(2), 153-178, 1993.
-
(1993)
Machine Learning
, vol.10
, Issue.2
, pp. 153-178
-
-
Schaffer, C.1
-
40
-
-
2442526890
-
-
St. Louis, USA
-
Seno, E., Murakami, K., Izumida, M., and Matsumoto, S.: Inflow Forecasting Of The Dam By The Neural Network, in: Artificial Neural Networks In Engineering Conference, St. Louis, USA, 2003.
-
(2003)
Inflow Forecasting of the Dam by the Neural Network in Artificial Neural Networks in Engineering Conference
-
-
Seno, E.1
Murakami, K.2
Izumida, M.3
Matsumoto, S.4
-
41
-
-
0033319939
-
-
CD Proceedings, SPIE Annual Conference, Denver
-
Stallard, B. R. and Taylor, J. G.: Quantifying Multivariate Classification Performance - The Problem Of Overfitting, CD Proceedings, SPIE Annual Conference, Denver, 1999.
-
(1999)
Quantifying Multivariate Classification Performance - The Problem Of Overfitting
-
-
Stallard, B.R.1
Taylor, J.G.2
-
42
-
-
0001447184
-
Neural network studies. Comparison of overfitting and overtraining
-
Tetko, I. V., Livingstone, D. J., and Luik, A. I.: Neural Network Studies. Comparison Of Overfitting And Overtraining, J. Chem. Inf. Comp. Sci., 35, 826-833, 1995.
-
(1995)
J. Chem. Inf. Comp. Sci.
, vol.35
, pp. 826-833
-
-
Tetko, I.V.1
Livingstone, D.J.2
Luik, A.I.3
-
43
-
-
68349105875
-
A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
-
Wang, W. C., Chau, K. W., Cheng, C. T., and Qiu, L.: A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series, J. Hydrol., 374(3-4), 294-306, 2009.
-
(2009)
J. Hydrol.
, vol.374
, Issue.3-4
, pp. 294-306
-
-
Wang, W.C.1
Chau, K.W.2
Cheng, C.T.3
Qiu, L.4
-
44
-
-
0000778985
-
Predicting sunspots and exchange rates with connectionist networks
-
SFI Studies In The Sciences Of Complexity, edited by: Casdagli, M. and Eubank, S., Proceedings XII, Addison-Wesley
-
Weigend, A. S., Huberman, B. A., and Rumelhart, D. E.: Predicting Sunspots And Exchange Rates With Connectionist Networks, in: Nonlinear Modeling and forecasting, SFI Studies In The Sciences Of Complexity, edited by: Casdagli, M. and Eubank, S., Proceedings Vol. XII, Pages 395-432, Addison-Wesley, 1992.
-
(1992)
Nonlinear Modeling and Forecasting
, pp. 395-432
-
-
Weigend, A.S.1
Huberman, B.A.2
Rumelhart, D.E.3
-
46
-
-
70349777454
-
Predicting monthly streamflow using data-driven models coupled with datapreprocessing techniques
-
doi:10.1029/2007WR006737
-
Wu, C. L., Chau, K. W., and Li, Y. S.: Predicting monthly streamflow using data-driven models coupled with datapreprocessing techniques, Water Resour. Res., 45, W08432, doi:10.1029/2007WR006737, 2009.
-
(2009)
Water Resour. Res.
, vol.45
-
-
Wu, C.L.1
Chau, K.W.2
Li, Y.S.3
|