-
1
-
-
0034254196
-
Comparing neural network and autoregressive moving average techniques for the provision of continuous river flow forecasts in two contrasting catchments
-
R.J. Abrahart, and L. See Comparing neural network and autoregressive moving average techniques for the provision of continuous river flow forecasts in two contrasting catchments Hydrol. Process. 14 2000 2157 2172
-
(2000)
Hydrol. Process.
, vol.14
, pp. 2157-2172
-
-
Abrahart, R.J.1
See, L.2
-
2
-
-
11144345954
-
An exploration of artificial neural network rainfall-runoff forecasting combined with wavelet decomposition
-
F. Anctil, and D.G. Tape An exploration of artificial neural network rainfall-runoff forecasting combined with wavelet decomposition J. Env. Eng. Sci. 3 1 2004 S121 S128
-
(2004)
J. Env. Eng. Sci.
, vol.3
, Issue.1
-
-
Anctil, F.1
Tape, D.G.2
-
3
-
-
0000782355
-
Automated base flow separation and recession analysis techniques
-
J.G. Arnold, P.M. Allen, R. Muttiah, and G. Bernhardt Automated base flow separation and recession analysis techniques Ground Water 33 6 1995 1010 1018
-
(1995)
Ground Water
, vol.33
, Issue.6
, pp. 1010-1018
-
-
Arnold, J.G.1
Allen, P.M.2
Muttiah, R.3
Bernhardt, G.4
-
4
-
-
0036715707
-
Performance of neural networks in daily streamflow Forecasting
-
S. Birikundavyi, R. Labib, H.T. Trung, and J. Rousselle Performance of neural networks in daily streamflow Forecasting J. Hydrol. Eng., ASCE 7 5 2002 392 398
-
(2002)
J. Hydrol. Eng., ASCE
, vol.7
, Issue.5
, pp. 392-398
-
-
Birikundavyi, S.1
Labib, R.2
Trung, H.T.3
Rousselle, J.4
-
6
-
-
0032688155
-
River flood forecasting with neural network model
-
M. Campolo, P. Andreussi, and A. Soldati River flood forecasting with neural network model Water Resour. Res. 35 4 1999 1191 1197
-
(1999)
Water Resour. Res.
, vol.35
, Issue.4
, pp. 1191-1197
-
-
Campolo, M.1
Andreussi, P.2
Soldati, A.3
-
7
-
-
0026954346
-
Forecasting the behaviour of the multivariate time series using neural networks
-
K. Chakraborty, K. Mehrotra, C.K. Mohan, and S. Ranka Forecasting the behaviour of the multivariate time series using neural networks Neural Networks 5 1992 961 970
-
(1992)
Neural Networks
, vol.5
, pp. 961-970
-
-
Chakraborty, K.1
Mehrotra, K.2
Mohan, C.K.3
Ranka, S.4
-
8
-
-
0032005702
-
An artificial neural network approach to rainfall-runoff modeling
-
D.W. Dawson, and R. Wilby An artificial neural network approach to rainfall-runoff modeling Hydrol. Sci. J. 43 1 1998 47 65
-
(1998)
Hydrol. Sci. J.
, vol.43
, Issue.1
, pp. 47-65
-
-
Dawson, D.W.1
Wilby, R.2
-
9
-
-
0031998129
-
Application example of neural networks for time series analysis: Rainfall runoff modeling
-
D. Furundzic Application example of neural networks for time series analysis: rainfall runoff modeling Signal Process. 64 1998 383 396
-
(1998)
Signal Process.
, vol.64
, pp. 383-396
-
-
Furundzic, D.1
-
10
-
-
0004534895
-
A water yield model for small watersheds
-
C.T. Haan A water yield model for small watersheds Water Resour. Res. 8 1 1972 58 69
-
(1972)
Water Resour. Res.
, vol.8
, Issue.1
, pp. 58-69
-
-
Haan, C.T.1
-
11
-
-
0029413797
-
Artificial neural network modeling of the rainfall-runoff process
-
K.L. Hsu, H.V. Gupta, and S. Sorooshian Artificial neural network modeling of the rainfall-runoff process Wat. Resour. Res. 31 10 1995 2517 2530
-
(1995)
Wat. Resour. Res.
, vol.31
, Issue.10
, pp. 2517-2530
-
-
Hsu, K.L.1
Gupta, H.V.2
Sorooshian, S.3
-
12
-
-
0036998831
-
Self-organizing linear output map (SOLO): An artificial neural network suitable for hydrologic modeling and analysis
-
K.L. Hsu, H.V. Gupta, X. Gao, S. Sorooshian, and B. Imam Self-organizing linear output map (SOLO): an artificial neural network suitable for hydrologic modeling and analysis Water Resour. Res. 38 12 2002 1302 (doi:10.1029/ 2001WR000795)
-
(2002)
Water Resour. Res.
, vol.38
, Issue.12
, pp. 1302
-
-
Hsu, K.L.1
Gupta, H.V.2
Gao, X.3
Sorooshian, S.4
Imam, B.5
-
13
-
-
0036640826
-
Evaluation of short-term water demand forecast modeling techniques: Conventional methods versus AI
-
A. Jain, and L.E. Ormsbee Evaluation of short-term water demand forecast modeling techniques: conventional methods versus AI J. Am. Water Works Assoc. 94 7 2002 64 72
-
(2002)
J. Am. Water Works Assoc.
, vol.94
, Issue.7
, pp. 64-72
-
-
Jain, A.1
Ormsbee, L.E.2
-
14
-
-
0037340658
-
Comparative analysis of event based rainfall-runoff modeling techniques-deterministic, statistical, and artificial neural networks'
-
A. Jain, and S.K.V.P. Indurthy Comparative analysis of event based rainfall-runoff modeling techniques-deterministic, statistical, and artificial neural networks' J. Hydrol. Engg., ASCE 8 2 2003 1 6
-
(2003)
J. Hydrol. Engg., ASCE
, vol.8
, Issue.2
, pp. 1-6
-
-
Jain, A.1
Indurthy, S.K.V.P.2
-
15
-
-
12244280869
-
An evaluation of the available techniques for estimating missing fecal coliform data
-
A. Jain, and L.E. Ormsbee An evaluation of the available techniques for estimating missing fecal coliform data J. Am. Water Resour. Assoc. 40 6 2004 1617 1630
-
(2004)
J. Am. Water Resour. Assoc.
, vol.40
, Issue.6
, pp. 1617-1630
-
-
Jain, A.1
Ormsbee, L.E.2
-
16
-
-
2442639370
-
Development of effective and efficient rainfall-runoff models using integration of deterministic, real-coded GA, and ANN techniques
-
A. Jain, and S. Srinivasulu Development of effective and efficient rainfall-runoff models using integration of deterministic, real-coded GA, and ANN techniques Water Resour. Res. 40 4 2004 (W04302, doi:10.1029/2003WR002355)
-
(2004)
Water Resour. Res.
, vol.40
, Issue.4
-
-
Jain, A.1
Srinivasulu, S.2
-
17
-
-
0035494446
-
Short-term water demand forecast modeling at IIT Kanpur using artificial neural networks
-
A. Jain, A.K. Varshney, and U.C. Joshi Short-term water demand forecast modeling at IIT Kanpur using artificial neural networks Water Resour. Manage. 15 5 2001 299 321
-
(2001)
Water Resour. Manage.
, vol.15
, Issue.5
, pp. 299-321
-
-
Jain, A.1
Varshney, A.K.2
Joshi, U.C.3
-
18
-
-
1542287371
-
Identification of physical processes inherent in artificial neural network rainfall runoff models?
-
A. Jain, K.P. Sudheer, and S. Srinivasulu Identification of physical processes inherent in artificial neural network rainfall runoff models? Hydrol. Process. 118 3 2004 571 581
-
(2004)
Hydrol. Process.
, vol.118
, Issue.3
, pp. 571-581
-
-
Jain, A.1
Sudheer, K.P.2
Srinivasulu, S.3
-
19
-
-
85001858096
-
Discussion on rainfall runoff modeling using artificial neural networks
-
A. Kumar, and K. Minocha Discussion on rainfall runoff modeling using artificial neural networks J. Hydrol. Eng., ASCE 6 2 2001 176 177
-
(2001)
J. Hydrol. Eng., ASCE
, vol.6
, Issue.2
, pp. 176-177
-
-
Kumar, A.1
Minocha, K.2
-
20
-
-
0034610444
-
Rainfall-runoff relations for Karstic springs. Part II: Continuous wavelet and discrete orthogonal multiresolution
-
D. Labat, R. Ababou, and A. Mangin Rainfall-runoff relations for Karstic springs. Part II: continuous wavelet and discrete orthogonal multiresolution J. Hydrol. 238 3-4 2000 149 178
-
(2000)
J. Hydrol.
, vol.238
, Issue.3-4
, pp. 149-178
-
-
Labat, D.1
Ababou, R.2
Mangin, A.3
-
21
-
-
0034931357
-
Introduction of wavelet analyses to rainfall-runoff relationship for a Karstic basin: The case of Licq-Atherey Karstic system, France
-
D. Labat, R. Ababou, and A. Mangin Introduction of wavelet analyses to rainfall-runoff relationship for a Karstic basin: The case of Licq-Atherey Karstic system, France Ground Water 39 4 2001 605 615
-
(2001)
Ground Water
, vol.39
, Issue.4
, pp. 605-615
-
-
Labat, D.1
Ababou, R.2
Mangin, A.3
-
22
-
-
0038456946
-
Application of wavelet transform in runoff sequence analysis
-
S.Y. Liu, X.Z. Quan, and Y.C. Zhang Application of wavelet transform in runoff sequence analysis Progr. Nat. Sci. 13 7 2003 546 549
-
(2003)
Progr. Nat. Sci.
, vol.13
, Issue.7
, pp. 546-549
-
-
Liu, S.Y.1
Quan, X.Z.2
Zhang, Y.C.3
-
23
-
-
0030159380
-
Artificial neural networks as rainfall runoff models
-
A.W. Minns, and M.J. Hall Artificial neural networks as rainfall runoff models Hydrol. Sci. J. 41 3 1996 399 417
-
(1996)
Hydrol. Sci. J.
, vol.41
, Issue.3
, pp. 399-417
-
-
Minns, A.W.1
Hall, M.J.2
-
24
-
-
0022471098
-
Learning representations by back-propagating errors
-
D.E. Rumelhart, G.E. Hinton, and R.J. Williams Learning representations by back-propagating errors Nature 323 1986 533 536
-
(1986)
Nature
, vol.323
, pp. 533-536
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
25
-
-
0033535432
-
A non-linear rainfall-runoff model using an artificial neural network
-
N. Sajikumar, and B.S. Thandaveswara A non-linear rainfall-runoff model using an artificial neural network J. Hydrol. 216 1999 32 55
-
(1999)
J. Hydrol.
, vol.216
, pp. 32-55
-
-
Sajikumar, N.1
Thandaveswara, B.S.2
-
26
-
-
0342506462
-
Application of a neural network technique to rainfall-runoff modeling
-
A.Y. Shamseldin Application of a neural network technique to rainfall-runoff modeling J. Hydrol. 199 1997 272 294
-
(1997)
J. Hydrol.
, vol.199
, pp. 272-294
-
-
Shamseldin, A.Y.1
-
27
-
-
0029416249
-
Neural network models of the rainfall runoff process
-
J. Smith, and R.N. Eli Neural network models of the rainfall runoff process ASCE J. Res. Plan. Manage. 121 1995 499 508
-
(1995)
ASCE J. Res. Plan. Manage.
, vol.121
, pp. 499-508
-
-
Smith, J.1
Eli, R.N.2
-
28
-
-
0032003006
-
Streamflow characterization and feature detection using a discrete wavelet transform
-
L.C. Smith, D.L. Turcotte, and B.L. Isacks Streamflow characterization and feature detection using a discrete wavelet transform Hydrol. Process. 12 2 1998 233 249
-
(1998)
Hydrol. Process.
, vol.12
, Issue.2
, pp. 233-249
-
-
Smith, L.C.1
Turcotte, D.L.2
Isacks, B.L.3
-
29
-
-
0034060297
-
Spectral analysis of base flow separation with digital filters
-
M.E. Spongberg Spectral analysis of base flow separation with digital filters Water Resour. Res. 36 3 2000 745 752
-
(2000)
Water Resour. Res.
, vol.36
, Issue.3
, pp. 745-752
-
-
Spongberg, M.E.1
-
30
-
-
1642333234
-
Explaining the internal behavior of artificial neural network river flow models
-
K.P. Sudheer, and A. Jain Explaining the internal behavior of artificial neural network river flow models Hydrol. Process. 118 4 2004 833 844
-
(2004)
Hydrol. Process.
, vol.118
, Issue.4
, pp. 833-844
-
-
Sudheer, K.P.1
Jain, A.2
-
31
-
-
0034174397
-
Precipitation runoff modeling using artificial neural network and conceptual models
-
A.S. Tokar, and M. Markus Precipitation runoff modeling using artificial neural network and conceptual models J. Hydrol. Eng., ASCE 5 2 2000 156 161
-
(2000)
J. Hydrol. Eng., ASCE
, vol.5
, Issue.2
, pp. 156-161
-
-
Tokar, A.S.1
Markus, M.2
-
32
-
-
0037388711
-
Detection of conceptual model rainfall-runoff processes inside an artificial neural network
-
R.L. Wilby, R.J. Abrahart, and C.W. Dawson Detection of conceptual model rainfall-runoff processes inside an artificial neural network Hydrol. Sci. J. 48 2 2003 163 181
-
(2003)
Hydrol. Sci. J.
, vol.48
, Issue.2
, pp. 163-181
-
-
Wilby, R.L.1
Abrahart, R.J.2
Dawson, C.W.3
-
33
-
-
0034100712
-
Prediction of Watershed Runoff using Bayesian Concepts and Modular Neural Networks
-
B. Zhang, and S. Govindaraju Prediction of Watershed Runoff using Bayesian Concepts and Modular Neural Networks Water Resour. Res. 36 3 2000 753 762
-
(2000)
Water Resour. Res.
, vol.36
, Issue.3
, pp. 753-762
-
-
Zhang, B.1
Govindaraju, S.2
-
35
-
-
0003433293
-
-
Jaico Publishing House, Mumbai, India, in arrangement with West Publishing Company St Paul, Minnesota
-
M.J. Zurada An Introduction to Artificial Neural Systems 1997 Jaico Publishing House, Mumbai, India, in arrangement with West Publishing Company St Paul, Minnesota
-
(1997)
An Introduction to Artificial Neural Systems
-
-
Zurada, M.J.1
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