-
1
-
-
0034174396
-
Artificial neural networks in hydrology. I: Preliminary concepts
-
ASCE Task Committee on application of Artificial Neural Networks in Hydrology
-
ASCE Task Committee on application of Artificial Neural Networks in Hydrology Artificial neural networks in hydrology. I: preliminary concepts J. Hydr. Eng. 5 2 2000 124 137
-
(2000)
J. Hydr. Eng.
, vol.5
, Issue.2
, pp. 124-137
-
-
-
2
-
-
0034174280
-
Artificial neural networks in hydrology. II: Hydrologic applications
-
ASCE Committee on application of Artificial Neural Networks in Hydrology
-
ASCE Committee on application of Artificial Neural Networks in Hydrology Artificial neural networks in hydrology. II: hydrologic applications J. Hydrologic Engrg. 5 2 2000 115 123
-
(2000)
J. Hydrologic Engrg.
, vol.5
, Issue.2
, pp. 115-123
-
-
-
4
-
-
0036499322
-
Downscaling recent streamflow conditions in British Columbia, Canada using ensemble neural networks
-
A.J. Cannon, and P.H. Whitfield Downscaling recent streamflow conditions in British Columbia, Canada using ensemble neural networks J. Hydrol. 259 2002 136 151
-
(2002)
J. Hydrol.
, vol.259
, pp. 136-151
-
-
Cannon, A.J.1
Whitfield, P.H.2
-
5
-
-
31044447021
-
-
M.Sc thesis, Department of Engineering Hydrology, National University of Ireland, Galway, Republic of Ireland.
-
Chen J.Y., 1998. Application of GIS in Conceptual Rainfall-Runoff Modeling. M.Sc thesis, Department of Engineering Hydrology, National University of Ireland, Galway, Republic of Ireland.
-
(1998)
Application of GIS in Conceptual Rainfall-Runoff Modeling
-
-
Chen, J.Y.1
-
6
-
-
0003679224
-
-
Technical Report 39, Department of Civil Engineering, Stanford University, Stanford, CA.
-
Crawford, N.H., Linsley, R.K., 1966. Digital Simulation in Hydrology: Stanford Watershed Model IV, Technical Report 39, Department of Civil Engineering, Stanford University, Stanford, CA.
-
(1966)
Digital Simulation in Hydrology: Stanford Watershed Model IV
-
-
Crawford, N.H.1
Linsley, R.K.2
-
7
-
-
0032005702
-
An artificial neural network approach to rainfall-runoff modeling
-
C.W. Dawson, and R. Wilby An artificial neural network approach to rainfall-runoff modeling Hydr. Sci. 43 1 1998 47 66
-
(1998)
Hydr. Sci.
, vol.43
, Issue.1
, pp. 47-66
-
-
Dawson, C.W.1
Wilby, R.2
-
9
-
-
0024866495
-
On the approximate realization of continuous mappings by neural networks
-
K. Funahashi On the approximate realization of continuous mappings by neural networks Neural Networks 2 1989 183 192
-
(1989)
Neural Networks
, vol.2
, pp. 183-192
-
-
Funahashi, K.1
-
10
-
-
0034702917
-
Runoff analysis in humid forest catchment with artificial neural network
-
M.R. Gautam, K. Watanabe, and H. Saegusa Runoff analysis in humid forest catchment with artificial neural network J. Hydrol. 235 2000 117 136
-
(2000)
J. Hydrol.
, vol.235
, pp. 117-136
-
-
Gautam, M.R.1
Watanabe, K.2
Saegusa, H.3
-
11
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
K. Hornik, M. Stinchcombe, and H. White Multilayer feedforward networks are universal approximators Neural Networks 2 5 1989 359 366
-
(1989)
Neural Networks
, vol.2
, Issue.5
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
12
-
-
0029413797
-
Artificial neural network modeling of the rainfall-runoff process
-
Hsu, Kuo-lin, H.V. Gupta, and S. Sorooshian Artificial neural network modeling of the rainfall-runoff process Water Resour. Res. 31 10 1995 2517 2530
-
(1995)
Water Resour. Res.
, vol.31
, Issue.10
, pp. 2517-2530
-
-
Hsu1
Kuo-Lin2
Gupta, H.V.3
Sorooshian, S.4
-
13
-
-
0019228050
-
Adaptive filtering through detection of isolated transient errors in rainfall-runoff models
-
P.K. Kitanidis, and R.L. Bras Adaptive filtering through detection of isolated transient errors in rainfall-runoff models Water Resour. Res. 16 4 1980 740 748
-
(1980)
Water Resour. Res.
, vol.16
, Issue.4
, pp. 740-748
-
-
Kitanidis, P.K.1
Bras, R.L.2
-
14
-
-
0019228050
-
Real-time forecasting with a conceptual hydrological model
-
P.K. Kitanidis, and R.L. Bras Real-time forecasting with a conceptual hydrological model Water Resour. Res. 16 4 1980 740 748
-
(1980)
Water Resour. Res.
, vol.16
, Issue.4
, pp. 740-748
-
-
Kitanidis, P.K.1
Bras, R.L.2
-
15
-
-
0037142398
-
Hybrid neural network modeling of a full-scale industrial wastewater treatment process
-
D.S. Lee, C.O. Jeon, J.M. Park, and K.S. Chang Hybrid neural network modeling of a full-scale industrial wastewater treatment process Biotechnol. Bioeng. 78 6 2002 670 682
-
(2002)
Biotechnol. Bioeng.
, vol.78
, Issue.6
, pp. 670-682
-
-
Lee, D.S.1
Jeon, C.O.2
Park, J.M.3
Chang, K.S.4
-
16
-
-
0014776873
-
River flow forecasting through conceptual models, part 1. a discussion of principles
-
J.E. Nash, and J.V. Sutcliffe River flow forecasting through conceptual models, part 1. A discussion of principles J. Hydrol. 10 1970 282 290
-
(1970)
J. Hydrol.
, vol.10
, pp. 282-290
-
-
Nash, J.E.1
Sutcliffe, J.V.2
-
17
-
-
0001535952
-
River flow forecasting through conceptual models. Part 2. the Brosna catchment at Ferbane
-
P.E. O'Connell, J.E. Nash, and J.P. Farrell River flow forecasting through conceptual models. Part 2. The Brosna catchment at Ferbane J. Hydrol. 10 1970 317 329
-
(1970)
J. Hydrol.
, vol.10
, pp. 317-329
-
-
O'Connell, P.E.1
Nash, J.E.2
Farrell, J.P.3
-
18
-
-
31044446407
-
-
Unpublished Lecture Notes. Department of Engineering Hydrology, National University of Ireland, Galway.
-
O'Connor, K.M., 1997. Applied hydrology I-deterministic. Unpublished Lecture Notes. Department of Engineering Hydrology, National University of Ireland, Galway.
-
(1997)
Applied Hydrology I-deterministic
-
-
O'Connor, K.M.1
-
19
-
-
0001723141
-
An automatic method for finding the greatest or least value of a function
-
H.H. Rosenbrock An automatic method for finding the greatest or least value of a function Comput. J. 3 1960 175 184
-
(1960)
Comput. J.
, vol.3
, pp. 175-184
-
-
Rosenbrock, H.H.1
-
20
-
-
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
-
21
-
-
0034739743
-
Application of a geographic information system for conceptual rainfall-runoff modeling
-
A.H. Schumann, R. Funke, and G.A. Schultz Application of a geographic information system for conceptual rainfall-runoff modeling J. Hydrol. 240 2000 45 61
-
(2000)
J. Hydrol.
, vol.240
, pp. 45-61
-
-
Schumann, A.H.1
Funke, R.2
Schultz, G.A.3
-
22
-
-
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
-
23
-
-
31044440186
-
Neural-network models of rainfall-runoff process
-
J. Smith, and R.B. Eli Neural-network models of rainfall-runoff process J. Water Resour. Plng. Mgmt., ASCE 4 3 1995 232 239
-
(1995)
J. Water Resour. Plng. Mgmt., ASCE
, vol.4
, Issue.3
, pp. 232-239
-
-
Smith, J.1
Eli, R.B.2
-
24
-
-
84946640734
-
Sequential application of simplex design in optimisation and evolutionary design
-
W. Spendy, G.R. Hext, and F.R. Himsworth Sequential application of simplex design in optimisation and evolutionary design Technometrics 4 1962 441 461
-
(1962)
Technometrics
, vol.4
, pp. 441-461
-
-
Spendy, W.1
Hext, G.R.2
Himsworth, F.R.3
-
25
-
-
0008275576
-
On the analysis of runoff structure about several Japanese rivers
-
M. Sugawara On the analysis of runoff structure about several Japanese rivers Jap. J. Geophys. 2 4 1961 1 76
-
(1961)
Jap. J. Geophys.
, vol.2
, Issue.4
, pp. 1-76
-
-
Sugawara, M.1
-
27
-
-
0030274099
-
Application of an empirical infiltration quation in the SMAR conceptual model
-
B.Q. Tan, and K.M. O'Connor Application of an empirical infiltration quation in the SMAR conceptual model J. Hydrol. 185 1996 275 295
-
(1996)
J. Hydrol.
, vol.185
, pp. 275-295
-
-
Tan, B.Q.1
O'Connor, K.M.2
-
28
-
-
0033167344
-
Rainfall-runoff modeling using artificial neural network
-
A.S. Tokar, and P.A. Johnson Rainfall-runoff modeling using artificial neural network J. Hydr. Eng., ASCE 4 3 1999 232 239
-
(1999)
J. Hydr. Eng., ASCE
, vol.4
, Issue.3
, pp. 232-239
-
-
Tokar, A.S.1
Johnson, P.A.2
-
29
-
-
0034174397
-
Precipitation-runoff modeling using artificial neural networks and concettual models
-
A.S. Tokar, and M. Markus Precipitation-runoff modeling using artificial neural networks and concettual models J. Hydr. Eng., ASCE 5 2 2000 156 161
-
(2000)
J. Hydr. Eng., ASCE
, vol.5
, Issue.2
, pp. 156-161
-
-
Tokar, A.S.1
Markus, M.2
-
30
-
-
0343052706
-
An efficient model development strategy for bioprocesses based on neural networks in macroscopic balance
-
H.J.L. Van Can, H.A.B. te Braake, C. Hellinga, K.C.A.M Luyben, and J.J. Heijnen An efficient model development strategy for bioprocesses based on neural networks in macroscopic balance Biotechnol. Bioeng. 54 1997 549 566
-
(1997)
Biotechnol. Bioeng.
, vol.54
, pp. 549-566
-
-
Van Can, H.J.L.1
Te Braake, H.A.B.2
Hellinga, C.3
Luyben, A.M.4
Heijnen, J.J.5
-
31
-
-
0026266630
-
The genetic algorithm and its application to calibrating conceptual rainfall-runoff models
-
Q.J. Wang The genetic algorithm and its application to calibrating conceptual rainfall-runoff models Water Resour. Res. 27 9 1991 2367 2471
-
(1991)
Water Resour. Res.
, vol.27
, Issue.9
, pp. 2367-2471
-
-
Wang, Q.J.1
-
32
-
-
0037466126
-
Geomorphology-based artifical neural networks (GANNs) for estimation of direct runoff over watersheds
-
B. Zhang, and R.S. Govindaraju Geomorphology-based artifical neural networks (GANNs) for estimation of direct runoff over watersheds J. Hydrol. 273 1-4 2003 18 34
-
(2003)
J. Hydrol.
, vol.273
, Issue.1-4
, pp. 18-34
-
-
Zhang, B.1
Govindaraju, R.S.2
-
33
-
-
0026895285
-
The Xinanjiang model applied in China
-
R.J. Zhao The Xinanjiang model applied in China J. Hydrol. 135 1992 1992 371 381
-
(1992)
J. Hydrol.
, vol.135
, Issue.1992
, pp. 371-381
-
-
Zhao, R.J.1
-
34
-
-
0000626643
-
The Xinanjiang model
-
V.P. Singh Water Resources Publications Littleton, CO
-
R.J. Zhao, and X.R. Liu The Xinanjiang model V.P. Singh Computer Models of Watershed Hydrology 1995 Water Resources Publications Littleton, CO
-
(1995)
Computer Models of Watershed Hydrology
-
-
Zhao, R.J.1
Liu, X.R.2
-
35
-
-
0000759817
-
The Xinanjiang model
-
IAHS
-
Zhao, R.J., Zhang, Y.L., Fang, L.R., Liu, X.R., Zhang, Q.S., 1980. The Xinanjiang model, in Hydrological forecasting, proceedings of the Oxford symposium, IAHS. vol. 129, pp. 351-356.
-
(1980)
Hydrological Forecasting, Proceedings of the Oxford Symposium
, vol.129
, pp. 351-356
-
-
Zhao, R.J.1
Zhang, Y.L.2
Fang, L.R.3
Liu, X.R.4
Zhang, Q.S.5
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