-
1
-
-
0034254196
-
Comparing neural network and autoregressive moving average techniques for the provision of continuous river flow forecasts in two contrasting catchments
-
Abrahart R.J., and See L. Comparing neural network and autoregressive moving average techniques for the provision of continuous river flow forecasts in two contrasting catchments. Hydrological Processes 14 (2000) 2157-2172
-
(2000)
Hydrological Processes
, vol.14
, pp. 2157-2172
-
-
Abrahart, R.J.1
See, L.2
-
2
-
-
0036698601
-
Multi-model data fusion for river flow forecasting: An evaluation of six alternative methods based on two contrasting catchments
-
Abrahart R.J., and See L. Multi-model data fusion for river flow forecasting: An evaluation of six alternative methods based on two contrasting catchments. Hydrology and Earth System Sciences 6 (2002) 655-670
-
(2002)
Hydrology and Earth System Sciences
, vol.6
, pp. 655-670
-
-
Abrahart, R.J.1
See, L.2
-
3
-
-
0742267129
-
Using pruning algorithms and genetic algorithms to optimise network architectures and forecasting inputs in a neural network rainfall-runoff model
-
Abrahart R.J., See L., and Kneale P.E. Using pruning algorithms and genetic algorithms to optimise network architectures and forecasting inputs in a neural network rainfall-runoff model. Journal of Hydroinformatics 1 (1999) 103-114
-
(1999)
Journal of Hydroinformatics
, vol.1
, pp. 103-114
-
-
Abrahart, R.J.1
See, L.2
Kneale, P.E.3
-
4
-
-
4644274685
-
Runoff modelling through back propagation artificial neural network with variable rainfall-runoff data
-
Agarwal A., and Singh R.D. Runoff modelling through back propagation artificial neural network with variable rainfall-runoff data. Water Resources Management 18 (2004) 285-300
-
(2004)
Water Resources Management
, vol.18
, pp. 285-300
-
-
Agarwal, A.1
Singh, R.D.2
-
5
-
-
0027594152
-
Criteria for evaluation of watershed models
-
ASCE. Criteria for evaluation of watershed models. Journal of Irrigation and Drainage Engineering 119 (1993) 429-442
-
(1993)
Journal of Irrigation and Drainage Engineering
, vol.119
, pp. 429-442
-
-
ASCE1
-
6
-
-
0034174280
-
Artificial neural networks in hydrology. I. Preliminary Concepts
-
ASCE. Artificial neural networks in hydrology. I. Preliminary Concepts. Journal of Hydrologic Engineering 5 (2000) 115-123
-
(2000)
Journal of Hydrologic Engineering
, vol.5
, pp. 115-123
-
-
ASCE1
-
7
-
-
0034174396
-
Artificial neural networks in hydrology. II. Hydrologic applications
-
ASCE. Artificial neural networks in hydrology. II. Hydrologic applications. ASCE Journal of Hydrologic Engineering 5 (2000) 124-137
-
(2000)
ASCE Journal of Hydrologic Engineering
, vol.5
, pp. 124-137
-
-
ASCE1
-
8
-
-
0344394527
-
River flow forecast for reservoir management through neural networks
-
Baratti R., Cannas B., Fanni A., Pintus M., Sechi G.M., and Toreno N. River flow forecast for reservoir management through neural networks. Neurocomputing 55 (2003) 421-437
-
(2003)
Neurocomputing
, vol.55
, pp. 421-437
-
-
Baratti, R.1
Cannas, B.2
Fanni, A.3
Pintus, M.4
Sechi, G.M.5
Toreno, N.6
-
9
-
-
0032821643
-
Hydrograph prediction-how much skill?
-
Beran M. Hydrograph prediction-how much skill?. Hydrology and Earth System Sciences 3 (1999) 305-307
-
(1999)
Hydrology and Earth System Sciences
, vol.3
, pp. 305-307
-
-
Beran, M.1
-
11
-
-
10644295753
-
Input determination for neural network models in water resources applications. Part 1-background and methodology
-
Bowden G.J., Dandy G.C., and Maier H.R. Input determination for neural network models in water resources applications. Part 1-background and methodology. Journal of Hydrology 301 (2005) 75-92
-
(2005)
Journal of Hydrology
, vol.301
, pp. 75-92
-
-
Bowden, G.J.1
Dandy, G.C.2
Maier, H.R.3
-
12
-
-
0038240745
-
Artificial neural network approach to flood forecasting in the river Arno
-
Campolo M., Soldati A., and Andreussi P. Artificial neural network approach to flood forecasting in the river Arno. Hydrological Sciences Journal 48 (2003) 381-398
-
(2003)
Hydrological Sciences Journal
, vol.48
, pp. 381-398
-
-
Campolo, M.1
Soldati, A.2
Andreussi, P.3
-
13
-
-
0034749335
-
Hydrological modelling using artificial neural networks
-
Dawson C.W., and Wilby R.L. Hydrological modelling using artificial neural networks. Progress in Physical Geography 25 (2001) 80-108
-
(2001)
Progress in Physical Geography
, vol.25
, pp. 80-108
-
-
Dawson, C.W.1
Wilby, R.L.2
-
14
-
-
23744444467
-
Constraints of artificial neural networks for rainfall-runoff modelling: Trade-offs in hydrological state representation and model evaluation
-
DeVos N.J., and Rientjes T.H.M. Constraints of artificial neural networks for rainfall-runoff modelling: Trade-offs in hydrological state representation and model evaluation. Hydrology and Earth System Sciences 9 (2005) 111-126
-
(2005)
Hydrology and Earth System Sciences
, vol.9
, pp. 111-126
-
-
DeVos, N.J.1
Rientjes, T.H.M.2
-
15
-
-
9144260142
-
Optimal operation of artificial groundwater recharge systems considering water quality transformations
-
Eusuff M.M., and Lansey K.E. Optimal operation of artificial groundwater recharge systems considering water quality transformations. Water Resources Management 18 (2004) 379-405
-
(2004)
Water Resources Management
, vol.18
, pp. 379-405
-
-
Eusuff, M.M.1
Lansey, K.E.2
-
16
-
-
0037052898
-
A weather-type approach to analysing water resource drought in the Yorkshire region from 1881 to 1998
-
Fowler H.J., and Kilsby C.G. A weather-type approach to analysing water resource drought in the Yorkshire region from 1881 to 1998. Journal of Hydrology 262 (2002) 177-192
-
(2002)
Journal of Hydrology
, vol.262
, pp. 177-192
-
-
Fowler, H.J.1
Kilsby, C.G.2
-
17
-
-
0029657538
-
Use of a genetic algorithm combined with a local search method for the automatic calibration of conceptual rainfall-runoff models
-
Franchini M. Use of a genetic algorithm combined with a local search method for the automatic calibration of conceptual rainfall-runoff models. Hydrological Sciences Journal 41 (1996) 21-39
-
(1996)
Hydrological Sciences Journal
, vol.41
, pp. 21-39
-
-
Franchini, M.1
-
18
-
-
20844456071
-
Improving generalization of input-output artificial neural networks in rainfall-runoff modelling
-
Giustolisi O., and Laucelli D. Improving generalization of input-output artificial neural networks in rainfall-runoff modelling. Hydrological Sciences Journal 50 (2005) 439-457
-
(2005)
Hydrological Sciences Journal
, vol.50
, pp. 439-457
-
-
Giustolisi, O.1
Laucelli, D.2
-
19
-
-
0001956933
-
How well does your model fit the data?
-
Hall M.J. How well does your model fit the data?. Journal of Hydroinformatics 3 (2001) 49-55
-
(2001)
Journal of Hydroinformatics
, vol.3
, pp. 49-55
-
-
Hall, M.J.1
-
20
-
-
0030373712
-
Groundwater optimization and parameter estimation by genetic algorithm and dual reciprocity boundary element method
-
Harrouni K.E., Ouazar D., Waiters G.A., and Cheng A.H.-D. Groundwater optimization and parameter estimation by genetic algorithm and dual reciprocity boundary element method. Engineering Analysis with Boundary Elements 18 (1996) 287-296
-
(1996)
Engineering Analysis with Boundary Elements
, vol.18
, pp. 287-296
-
-
Harrouni, K.E.1
Ouazar, D.2
Waiters, G.A.3
Cheng, A.H.-D.4
-
21
-
-
0002941592
-
Implicit niching in a learning classifier system: Nature's way
-
Horn J., Goldberg D.E., and Deb K. Implicit niching in a learning classifier system: Nature's way. Evolutionary Computation 2 (1994) 27-66
-
(1994)
Evolutionary Computation
, vol.2
, pp. 27-66
-
-
Horn, J.1
Goldberg, D.E.2
Deb, K.3
-
22
-
-
0034641121
-
River flow prediction using artificial neural networks: Generalisation beyond the calibration range
-
Imrie C.E., Durucan S., and Korre A. River flow prediction using artificial neural networks: Generalisation beyond the calibration range. Journal of Hydrology 233 (2000) 138-153
-
(2000)
Journal of Hydrology
, vol.233
, pp. 138-153
-
-
Imrie, C.E.1
Durucan, S.2
Korre, A.3
-
23
-
-
0037340658
-
Comparative analysis of event based rainfall-runoff modeling techniques-deterministic, statistical, and artificial neural networks
-
Jain A., and Indurthy S.K.V.P. Comparative analysis of event based rainfall-runoff modeling techniques-deterministic, statistical, and artificial neural networks. ASCE Journal of Hydrological Engineering 8 (2003) 93-98
-
(2003)
ASCE Journal of Hydrological Engineering
, vol.8
, pp. 93-98
-
-
Jain, A.1
Indurthy, S.K.V.P.2
-
24
-
-
2442639370
-
Development of effective and efficient rainfall-runoff models using integration of deterministic, real-coded genetic algorithms and artificial neural network techniques
-
10.1029/2003WR002355
-
Jain A., and Srinivasulu S. Development of effective and efficient rainfall-runoff models using integration of deterministic, real-coded genetic algorithms and artificial neural network techniques. Water Resources Research 40 (2004) W04302 10.1029/2003WR002355
-
(2004)
Water Resources Research
, vol.40
-
-
Jain, A.1
Srinivasulu, S.2
-
26
-
-
17844379254
-
Multiobjective calibration with Pareto preference ordering: An application to rainfall-runoff model calibration
-
(ISI:000227553700001)
-
Khu S.T., and Madsen H. Multiobjective calibration with Pareto preference ordering: An application to rainfall-runoff model calibration. Water Resources Research 41 (2005) (ISI:000227553700001)
-
(2005)
Water Resources Research
, vol.41
-
-
Khu, S.T.1
Madsen, H.2
-
27
-
-
0019227948
-
Real-time forecasting with a conceptual hydrologic model: 2. Application and results
-
Kitanidis P.K., and Bras R.L. Real-time forecasting with a conceptual hydrologic model: 2. Application and results. Water Resources Research 16 (1980) 1034-1044
-
(1980)
Water Resources Research
, vol.16
, pp. 1034-1044
-
-
Kitanidis, P.K.1
Bras, R.L.2
-
28
-
-
33645964697
-
-
Kneale, P.E., See, L., Cameron, D., Kerr, P. & Merrix, R. (2000). Using a prototype neural net forecasting model for flood predictions on the Rivers Tyne and Wear. BHS Symposium, 6-8 September 2000, Newcastle.
-
-
-
-
29
-
-
0030162087
-
Rainfall-runoff modelling of the Ouse basin, North Yorkshire: An application of a physically-based distributed model
-
Kuchment L.S., Demidov V.N., Naden P.S., Cooper D.M., and Broadhurst P. Rainfall-runoff modelling of the Ouse basin, North Yorkshire: An application of a physically-based distributed model. Journal of Hydrology 181 (1996) 323-342
-
(1996)
Journal of Hydrology
, vol.181
, pp. 323-342
-
-
Kuchment, L.S.1
Demidov, V.N.2
Naden, P.S.3
Cooper, D.M.4
Broadhurst, P.5
-
30
-
-
21344450695
-
Time series forecasting by combining the radial basis function network and self-organizing map
-
Lin G.F., and Chen L.H. Time series forecasting by combining the radial basis function network and self-organizing map. Hydrological Processes 19 (2005) 1925-1937
-
(2005)
Hydrological Processes
, vol.19
, pp. 1925-1937
-
-
Lin, G.F.1
Chen, L.H.2
-
31
-
-
0034739246
-
Automatic calibration of a conceptual rainfall-runoff model using multiple objectives
-
Madsen H. Automatic calibration of a conceptual rainfall-runoff model using multiple objectives. Journal of Hydrology 235 (2000) 276-288
-
(2000)
Journal of Hydrology
, vol.235
, pp. 276-288
-
-
Madsen, H.1
-
32
-
-
0037300813
-
Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives
-
Madsen H. Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives. Advances in Water Resources 26 (2003) 205-216
-
(2003)
Advances in Water Resources
, vol.26
, pp. 205-216
-
-
Madsen, H.1
-
33
-
-
0033957764
-
Neural networks for the prediction and forecasting of water resources variables: A review of modelling issues and applications
-
Maier H.R., and Dandy G.C. Neural networks for the prediction and forecasting of water resources variables: A review of modelling issues and applications. Environmental Modelling and Software 15 (2000) 101-124
-
(2000)
Environmental Modelling and Software
, vol.15
, pp. 101-124
-
-
Maier, H.R.1
Dandy, G.C.2
-
34
-
-
10444270597
-
Forming neural networks through efficient and adaptive coevolution
-
Moriarty D.E., and Miikkulainen R. Forming neural networks through efficient and adaptive coevolution. Evolutionary Computation 5 (1998) 373-399
-
(1998)
Evolutionary Computation
, vol.5
, pp. 373-399
-
-
Moriarty, D.E.1
Miikkulainen, R.2
-
36
-
-
0014776873
-
River flow forecasting through conceptual models, I: A discussion of principles
-
Nash J.E., and Sutcliffe J.V. River flow forecasting through conceptual models, I: A discussion of principles. Journal of Hydrology 10 (1970) 398-409
-
(1970)
Journal of Hydrology
, vol.10
, pp. 398-409
-
-
Nash, J.E.1
Sutcliffe, J.V.2
-
37
-
-
33646007084
-
-
Potter, M. A. (1997). The design and analysis of a computational model of cooperative coevolution. Unpublished PhD thesis: George Mason University.
-
-
-
-
38
-
-
0347135926
-
Modeling of the daily rainfall-runoff relationship with artificial neural network
-
Rajurkar M., Kothyari U., and Chaube U. Modeling of the daily rainfall-runoff relationship with artificial neural network. Journal of Hydrology 285 (2004) 96-113
-
(2004)
Journal of Hydrology
, vol.285
, pp. 96-113
-
-
Rajurkar, M.1
Kothyari, U.2
Chaube, U.3
-
39
-
-
0346037047
-
Calibration of rainfall-runoff models using global optimization
-
Sardinas J.G., and Pedreira M.D.J. Calibration of rainfall-runoff models using global optimization. Ingenieria Hidraulica en Mexico 18 (2003) 55-73
-
(2003)
Ingenieria Hidraulica en Mexico
, vol.18
, pp. 55-73
-
-
Sardinas, J.G.1
Pedreira, M.D.J.2
-
40
-
-
0033381989
-
Applying soft computing approaches to river level forecasting
-
See L., and Openshaw S. Applying soft computing approaches to river level forecasting. Hydrological Sciences Journal 44 (1999) 763-778
-
(1999)
Hydrological Sciences Journal
, vol.44
, pp. 763-778
-
-
See, L.1
Openshaw, S.2
-
41
-
-
0034254025
-
A hybrid multi-model approach to river level forecasting
-
See L., and Openshaw S. A hybrid multi-model approach to river level forecasting. Hydrological Sciences Journal 45 (2000) 523-536
-
(2000)
Hydrological Sciences Journal
, vol.45
, pp. 523-536
-
-
See, L.1
Openshaw, S.2
-
42
-
-
0035312520
-
Genetic algorithms for the classification and prediction of precipitation occurrence
-
Sen Z., and Oztopal A. Genetic algorithms for the classification and prediction of precipitation occurrence. Hydrological Sciences Journal 46 (2001) 255-267
-
(2001)
Hydrological Sciences Journal
, vol.46
, pp. 255-267
-
-
Sen, Z.1
Oztopal, A.2
-
43
-
-
0342506462
-
Application of a neural network technique to rainfall-runoff modeling
-
Shamseldin A.Y. Application of a neural network technique to rainfall-runoff modeling. Journal of Hydrology 199 (1997) 272-294
-
(1997)
Journal of Hydrology
, vol.199
, pp. 272-294
-
-
Shamseldin, A.Y.1
-
44
-
-
0035701248
-
A non-linear neural network technique for updating of river flow forecasts
-
Shamseldin A.Y., and O'Connor K.M. A non-linear neural network technique for updating of river flow forecasts. Hydrology and Earth System Sciences 5 (2001) 577-597
-
(2001)
Hydrology and Earth System Sciences
, vol.5
, pp. 577-597
-
-
Shamseldin, A.Y.1
O'Connor, K.M.2
-
45
-
-
33646001795
-
-
Solomatine, D. P. (1998). Genetic and other global optimization algorithmscomparison and use in calibration problems. In proceedings of the third international conference on hydroinformatics, Copenhagen, Denmark, August 1998, (1021-1028).
-
-
-
-
46
-
-
0002391575
-
Two strategies of adaptive cluster covering with descent and their comparison to other algorithms
-
Solomatine D.P. Two strategies of adaptive cluster covering with descent and their comparison to other algorithms. Journal of Global Optimization 14 (1999) 55-78
-
(1999)
Journal of Global Optimization
, vol.14
, pp. 55-78
-
-
Solomatine, D.P.1
-
47
-
-
0033105463
-
Probabilistic optimization for conceptual rainfall-runoff models: A comparison of the shuffled complex evolution and simulated annealing algorithms
-
Thyer M., Kuczera G., and Bates B.C. Probabilistic optimization for conceptual rainfall-runoff models: A comparison of the shuffled complex evolution and simulated annealing algorithms. Water Resources Research 35 (1999) 767-773
-
(1999)
Water Resources Research
, vol.35
, pp. 767-773
-
-
Thyer, M.1
Kuczera, G.2
Bates, B.C.3
-
48
-
-
26444531130
-
Identification of rainfall-runoff models for operational applications
-
Wagener T., and McIntyre N. Identification of rainfall-runoff models for operational applications. Hydrological Sciences Journal 5 (2005) 735-751
-
(2005)
Hydrological Sciences Journal
, vol.5
, pp. 735-751
-
-
Wagener, T.1
McIntyre, N.2
-
49
-
-
0026266630
-
The genetic algorithm and its application to calibration of conceptual rainfall-runoff models
-
Wang Q.J. The genetic algorithm and its application to calibration of conceptual rainfall-runoff models. Water Resources Research 27 (1991) 2467-2471
-
(1991)
Water Resources Research
, vol.27
, pp. 2467-2471
-
-
Wang, Q.J.1
-
50
-
-
0025477595
-
Genetic algorithms and neural networks: Optimizing connections and connectivity
-
Whitley D., Starkweather T., and Bogart C. Genetic algorithms and neural networks: Optimizing connections and connectivity. Parallel Computing 14 (1990) 347-361
-
(1990)
Parallel Computing
, vol.14
, pp. 347-361
-
-
Whitley, D.1
Starkweather, T.2
Bogart, C.3
|