-
1
-
-
33645158824
-
Rainfall-runoff modelling using artificial neural networks technique: A Blue Nile catchment case study
-
Antar MA, Elassiouti I, Allam MN (2006) Rainfall-runoff modelling using artificial neural networks technique: a Blue Nile catchment case study. Hydrol Process 20:1201–1216
-
(2006)
Hydrol Process
, vol.20
, pp. 1201-1216
-
-
Antar, M.A.1
Elassiouti, I.2
Allam, M.N.3
-
2
-
-
59349109204
-
Analysis of drought and storage for Mula project using ANN and stochastic generation models
-
Awchi TA, Srivastava DK (2009) Analysis of drought and storage for Mula project using ANN and stochastic generation models. Hydrol Res 40(1):79–91. doi:10.2166/nh.2009.012
-
(2009)
Hydrol Res
, vol.40
, Issue.1
, pp. 79-91
-
-
Awchi, T.A.1
Srivastava, D.K.2
-
4
-
-
27544472438
-
Comparison of several flood forecasting models in Yangtze River
-
Chau KW, Wu CL, Li YS (2005) Comparison of several flood forecasting models in Yangtze River. J Hydrol Eng ASCE 10(6):485–491
-
(2005)
J Hydrol Eng ASCE
, vol.10
, Issue.6
, pp. 485-491
-
-
Chau, K.W.1
Wu, C.L.2
Li, Y.S.3
-
5
-
-
85028228820
-
Neural network toolbox for use with MATLAB. User guide version 6.0
-
Demuth H, Beale M, Hagan M (2008) Neural network toolbox for use with MATLAB. User guide version 6.0, The MathWorks Inc. http://www.mathworks.com
-
(2008)
The Mathworks Inc
-
-
Demuth, H.1
Beale, M.2
Hagan, M.3
-
6
-
-
79952700587
-
Application of ANN-based streamflow forecasting model for agricultural water management in the Awash River Basin, Ethiopia
-
Edossa DC, Babel MS (2011) Application of ANN-based streamflow forecasting model for agricultural water management in the Awash River Basin, Ethiopia. Water Resour Manag 25:1759–1773. doi:10.1007/s11269-010-9773-y
-
(2011)
Water Resour Manag
, vol.25
, pp. 1759-1773
-
-
Edossa, D.C.1
Babel, M.S.2
-
7
-
-
60849104783
-
Evaluation of artificial neural network techniques for municipal water consumption modeling
-
Firat M, Yurdusev MA, Turan ME (2009) Evaluation of artificial neural network techniques for municipal water consumption modeling. Water Resour Manag J 23(4):617–632
-
(2009)
Water Resour Manag J
, vol.23
, Issue.4
, pp. 617-632
-
-
Firat, M.1
Yurdusev, M.A.2
Turan, M.E.3
-
8
-
-
0029413797
-
Artificial neural network modeling of the rainfall –runoff process
-
Hsu K, Gupta V, Sorooshian S (1995) Artificial neural network modeling of the rainfall –runoff process. Water Resour Res 31(10):2517–2530
-
(1995)
Water Resour Res
, vol.31
, Issue.10
, pp. 2517-2530
-
-
Hsu, K.1
Gupta, V.2
Sorooshian, S.3
-
10
-
-
0001500034
-
Evaluation of hydrological forecasting system based on neural network model
-
International Association for Hydraulic Research, Delft, the Netherlands
-
Kang KW, Kim JH, Park CY, Ham KJ (1993) Evaluation of hydrological forecasting system based on neural network model. Proc. 25th Congress of Int. Assoc. for Hydr. Res. International Association for Hydraulic Research, Delft, the Netherlands, pp 257–264
-
(1993)
Proc. 25Th Congress of Int. Assoc. For Hydr. Res
, pp. 257-264
-
-
Kang, K.W.1
Kim, J.H.2
Park, C.Y.3
Ham, K.J.4
-
11
-
-
1642497522
-
River flow modeling using artificial neural networks
-
Kişi O (2004) River flow modeling using artificial neural networks. J Hydrol Eng 9(1):60–63
-
(2004)
J Hydrol Eng
, vol.9
, Issue.1
, pp. 60-63
-
-
Kişi, O.1
-
12
-
-
41949142664
-
River flow forecasting and estimation using different artificial neural network techniques
-
Kişi O (2008) River flow forecasting and estimation using different artificial neural network techniques. Hydrol Res 39(1):27–40
-
(2008)
Hydrol Res
, vol.39
, Issue.1
, pp. 27-40
-
-
Kişi, O.1
-
13
-
-
84855232291
-
Intermittent streamflow forecasting by using several data driven techniques
-
Kişi O, Nia AM, Gosheh MG, Tajabadi MR, Ahmadi A (2012) Intermittent streamflow forecasting by using several data driven techniques. Water Resour Manag 26:457–474. doi:10.1007/s11269-011-9926-7
-
(2012)
Water Resour Manag
, vol.26
, pp. 457-474
-
-
Kişi, O.1
Nia, A.M.2
Gosheh, M.G.3
Tajabadi, M.R.4
Ahmadi, A.5
-
18
-
-
0029413038
-
Multivariate modeling of water resources time series using artificial neural networks
-
Raman H, Sunilkumar N (1995) Multivariate modeling of water resources time series using artificial neural networks. Hydrol Sci J 40(2):145–163
-
(1995)
Hydrol Sci J
, vol.40
, Issue.2
, pp. 145-163
-
-
Raman, H.1
Sunilkumar, N.2
-
19
-
-
28844470729
-
Flow forecasting for a Hawaii stream using rating curves and neural networks
-
Sahoo GB, Ray C (2006) Flow forecasting for a Hawaii stream using rating curves and neural networks. J Hydrol 317:63–80
-
(2006)
J Hydrol
, vol.317
, pp. 63-80
-
-
Sahoo, G.B.1
Ray, C.2
-
20
-
-
0344701685
-
Neural Networks for applied science and engineering
-
Auerbach Publications
-
Samarasinghe S (2006) Neural Networks for applied science and engineering, Auerbach Publications, Taylor & Francis group, LLC
-
(2006)
Taylor & Francis Group, LLC
-
-
Samarasinghe, S.1
-
21
-
-
0026254768
-
A general regression neural network
-
Specht DF (1991) A general regression neural network. IEEE Trans Neural Netw 2(6):568–576
-
(1991)
IEEE Trans Neural Netw
, vol.2
, Issue.6
, pp. 568-576
-
-
Specht, D.F.1
-
22
-
-
0038105929
-
Radial basis function neural network for modelling rating curves
-
Sudheer KP, Jain SK (2003) Radial basis function neural network for modelling rating curves. J Hydrolog Eng 8(3):161–164
-
(2003)
J Hydrolog Eng
, vol.8
, Issue.3
, pp. 161-164
-
-
Sudheer, K.P.1
Jain, S.K.2
-
23
-
-
79960702239
-
Improved water level forecasting performance by using optimal steepness coefficients in an artificial neural network
-
Sulaiman M, El-Shafie A, Karim O, Basri H (2011) Improved water level forecasting performance by using optimal steepness coefficients in an artificial neural network. Water Resour Manag 25:2525–2541. doi:10.1007/s11269-011-9824-z
-
(2011)
Water Resour Manag
, vol.25
, pp. 2525-2541
-
-
Sulaiman, M.1
El-Shafie, A.2
Karim, O.3
Basri, H.4
|