-
1
-
-
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 3-4 (2003) 421-437
-
(2003)
Neurocomputing
, vol.55
, Issue.3-4
, pp. 421-437
-
-
Baratti, R.1
Cannas, B.2
Fanni, A.3
Pintus, M.4
Sechi, G.M.5
Toreno, N.6
-
2
-
-
0035340711
-
A counterpropagation fuzzy-neural network modeling approach to real time stream flow prediction
-
Chang F.J., and Chen Y.C. A counterpropagation fuzzy-neural network modeling approach to real time stream flow prediction. J. Hydrol. 245 (2001) 153-164
-
(2001)
J. Hydrol.
, vol.245
, pp. 153-164
-
-
Chang, F.J.1
Chen, Y.C.2
-
3
-
-
0842349306
-
A two-step-ahead recurrent neural network for stream-flow forecasting
-
Chang L.C., Chang F.J., and Chiang Y.M. A two-step-ahead recurrent neural network for stream-flow forecasting. Hydrol. Process. 18 1 (2004) 81-92
-
(2004)
Hydrol. Process.
, vol.18
, Issue.1
, pp. 81-92
-
-
Chang, L.C.1
Chang, F.J.2
Chiang, Y.M.3
-
4
-
-
0032005702
-
An artificial neural network approach to rainfall-runoff modeling
-
Dawson C.W., and Wilby R.L. An artificial neural network approach to rainfall-runoff modeling. Hydrol. Sci. 43 1 (1998) 47-67
-
(1998)
Hydrol. Sci.
, vol.43
, Issue.1
, pp. 47-67
-
-
Dawson, C.W.1
Wilby, R.L.2
-
5
-
-
58849155846
-
-
Drake, J.T., 2000. Communications phase synchronization using the adaptive network fuzzy inference system. Ph.D. Thesis, New Mexico State University, Las Cruces, New Mexico, USA.
-
Drake, J.T., 2000. Communications phase synchronization using the adaptive network fuzzy inference system. Ph.D. Thesis, New Mexico State University, Las Cruces, New Mexico, USA.
-
-
-
-
6
-
-
0027007868
-
Rainfall forecasting in space and time using a neural network
-
French M.N., Krajewski W.F., and Cuykendall R.R. Rainfall forecasting in space and time using a neural network. J. Hydrol. 137 (1992) 1-31
-
(1992)
J. Hydrol.
, vol.137
, pp. 1-31
-
-
French, M.N.1
Krajewski, W.F.2
Cuykendall, R.R.3
-
7
-
-
0842334546
-
A neural network approach to real-time rainfall estimation for Africa using satellite data
-
Grimes D.I.F., Coppola E., Verdecchia M., and Visconti G. A neural network approach to real-time rainfall estimation for Africa using satellite data. J. Hydromet. 4 (2003) 1119-1133
-
(2003)
J. Hydromet.
, vol.4
, pp. 1119-1133
-
-
Grimes, D.I.F.1
Coppola, E.2
Verdecchia, M.3
Visconti, G.4
-
9
-
-
0036579528
-
Reservoir operation using the neural network and fuzzy systems for dam control and operation support
-
Hasebe M., and Nagayama Y. Reservoir operation using the neural network and fuzzy systems for dam control and operation support. Adv. Eng. Software 33 5 (2002) 245-260
-
(2002)
Adv. Eng. Software
, vol.33
, Issue.5
, pp. 245-260
-
-
Hasebe, M.1
Nagayama, Y.2
-
11
-
-
0029413797
-
Artificial neural network modeling of the rainfall-runoff process
-
Hsu K.L., Gupta H.V., and Sorooshian S. 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
-
-
Hsu, K.L.1
Gupta, H.V.2
Sorooshian, S.3
-
12
-
-
0033197895
-
Application of ANN for reservoir inflow prediction and operation
-
Jain S.K., Das A., and Srivastava D.K. Application of ANN for reservoir inflow prediction and operation. J. Water Resour. Plan Manage. 125 5 (1999) 263-271
-
(1999)
J. Water Resour. Plan Manage.
, vol.125
, Issue.5
, pp. 263-271
-
-
Jain, S.K.1
Das, A.2
Srivastava, D.K.3
-
13
-
-
0027601884
-
ANFIS: adaptive-network-based fuzzy inference system
-
Jang J.-S.R. ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Manag. Cyber 23 3 (1993) 665-685
-
(1993)
IEEE Trans. Syst. Manag. Cyber
, vol.23
, Issue.3
, pp. 665-685
-
-
Jang, J.-S.R.1
-
14
-
-
0003753097
-
-
Prentice-Hall, Upper Saddle River, NJ
-
Jang J.S.R., Sun C.T., and Mizutani E. Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence (1997), Prentice-Hall, Upper Saddle River, NJ
-
(1997)
Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence
-
-
Jang, J.S.R.1
Sun, C.T.2
Mizutani, E.3
-
16
-
-
33748933705
-
Daily pan evaporation modelling using a neuro-fuzzy computing technique
-
Kisi O. Daily pan evaporation modelling using a neuro-fuzzy computing technique. J. Hydrol. 329 (2006) 636-646
-
(2006)
J. Hydrol.
, vol.329
, pp. 636-646
-
-
Kisi, O.1
-
17
-
-
0037868266
-
Evaluation and forecasting of daily groundwater outflow in a small chalky watershed
-
Lallahem S., and Mania J. Evaluation and forecasting of daily groundwater outflow in a small chalky watershed. Hydrol. Process. 17 8 (2003) 1561-1577
-
(2003)
Hydrol. Process.
, vol.17
, Issue.8
, pp. 1561-1577
-
-
Lallahem, S.1
Mania, J.2
-
18
-
-
0034737033
-
A study of optimal model lag and spatial inputs to artificial neural network for rainfall forecasting
-
Luk K.C., Ball JE., and Sharma A. A study of optimal model lag and spatial inputs to artificial neural network for rainfall forecasting. J. Hydrol. 227 (2000) 56-65
-
(2000)
J. Hydrol.
, vol.227
, pp. 56-65
-
-
Luk, K.C.1
Ball, JE.2
Sharma, A.3
-
19
-
-
0030224015
-
Deriving a general operating policy for reservoirs using neural network
-
Raman H., and Chandramouli V. Deriving a general operating policy for reservoirs using neural network. J. Water Resour. Plan Manage. 122 5 (1996) 342-347
-
(1996)
J. Water Resour. Plan Manage.
, vol.122
, Issue.5
, pp. 342-347
-
-
Raman, H.1
Chandramouli, V.2
-
20
-
-
0003444646
-
-
Rumelhart D.E., Hinton G.E., and Williams R.J. (Eds). Rumelhart D.E., and McClelland J.L. (Eds), MIT Press, Cambridge, MA
-
In: Rumelhart D.E., Hinton G.E., and Williams R.J. (Eds). Learning internal representation by error propagation. In: Rumelhart D.E., and McClelland J.L. (Eds). Parallel Distributed Processing. Foundations vol. 1 (1986), MIT Press, Cambridge, MA
-
(1986)
Parallel Distributed Processing. Foundations
, vol.1
-
-
-
21
-
-
0037200134
-
Short-term inflow forecasting using an artificial neural network model
-
Xu Z.X., and Li J.Y. Short-term inflow forecasting using an artificial neural network model. Hydrol. Process. 16 (2002) 2433-2439
-
(2002)
Hydrol. Process.
, vol.16
, pp. 2433-2439
-
-
Xu, Z.X.1
Li, J.Y.2
-
22
-
-
0031187954
-
Artificial neural network model for subsurface drained farmland
-
Yang C.C., Prasher S.O., Lacroix R., Sreekanth S., Patni N.K., and Masse L. Artificial neural network model for subsurface drained farmland. J. Irrigat. Drainage. Eng. 123 (1997) 285-292
-
(1997)
J. Irrigat. Drainage. Eng.
, vol.123
, pp. 285-292
-
-
Yang, C.C.1
Prasher, S.O.2
Lacroix, R.3
Sreekanth, S.4
Patni, N.K.5
Masse, L.6
-
23
-
-
0000251270
-
Comparisons between fuzzy reasoning and neural network methods to forecast runoff discharge
-
Zhu M.L., and Fujita M. Comparisons between fuzzy reasoning and neural network methods to forecast runoff discharge. J. Hydrosci. Hydraul. Eng. 12 2 (1994) 131-141
-
(1994)
J. Hydrosci. Hydraul. Eng.
, vol.12
, Issue.2
, pp. 131-141
-
-
Zhu, M.L.1
Fujita, M.2
|