-
1
-
-
14744288721
-
ANN-based sediment yield models for Vamsadhara river basin
-
(india)
-
Agarwal, A., R.D. Singh., S.K. Mishra and P.K. Bhunya, 2005. ANN-based sediment yield models for Vamsadhara river basin (india). Wat. SA. J., 31: 95-100.
-
(2005)
Wat. SA. J.
, vol.31
, pp. 95-100
-
-
Agarwal, A.1
Singh, R.D.2
Mishra, S.K.3
Bhunya, P.K.4
-
2
-
-
19944401912
-
Data-driven modelling in the context of sediment transport
-
Bhattacharya, B., R.K. Price and D.P. Solomatine, 2005. data-driven modelling in the context of sediment transport. Physics and Chemistry of the Earth, 30(4-7): 297-302.
-
(2005)
Physics and Chemistry of the Earth
, vol.30
, Issue.4-7
, pp. 297-302
-
-
Bhattacharya, B.1
Price, R.K.2
Solomatine, D.P.3
-
3
-
-
48549105650
-
Operation of storage reservoir for water quality by using optimization and artificial intelligence techniques
-
Chavez, P., T. Tsukatani and T. Kojiri, 2004. Operation of storage reservoir for water quality by using optimization and artificial intelligence techniques. Math. Comput. Simulat, 43: 377-386.
-
(2004)
Math. Comput. Simulat
, vol.43
, pp. 377-386
-
-
Chavez, P.1
Tsukatani, T.2
Kojiri, T.3
-
4
-
-
1342310688
-
Estimation and forecasting of daily suspended sediment data by multi layer perceptrons
-
Cigizoglu, H.K., 2004. Estimation and forecasting of daily suspended sediment data by multi layer perceptrons. Advan. Wat. Res., 27: 185-195.
-
(2004)
Advan. Wat. Res.
, vol.27
, pp. 185-195
-
-
Cigizoglu, H.K.1
-
5
-
-
12544253180
-
Flow prediction by three back propagation techniques using K-fold partitioning of neural network training data
-
Cigizoglu, H.K. and O. Kisi, 2005. Flow prediction by three back propagation techniques using K-fold partitioning of neural network training data. Nord. Hydrol. J., 36(1): 49-64.
-
(2005)
Nord. Hydrol. J.
, vol.36
, Issue.1
, pp. 49-64
-
-
Cigizoglu, H.K.1
Kisi, O.2
-
6
-
-
79958705260
-
Performance of artificial neural network and regression techniques for rainfall-runoff prediction
-
El-shafie, A., M. Mukhlisin, A.A. Najah and M.R. Taha, 2011. Performance of artificial neural network and regression techniques for rainfall-runoff prediction. International Journal of the Physical Sciences, 6: 1997-2003.
-
(2011)
International Journal of the Physical Sciences
, vol.6
, pp. 1997-2003
-
-
El-shafie, A.1
Mukhlisin, M.2
Najah, A.A.3
Taha, M.R.4
-
7
-
-
78649343954
-
Estimation of yield sediment using artificial neural network at basin scale
-
Haghizade, A., L.T. Shui and E. Goudarzi, 2010. Estimation of yield sediment using artificial neural network at basin scale. Astalian. J. of Basic and Applied Sciences, 4(7): 1668-1675.
-
(2010)
Astalian. J. of Basic and Applied Sciences
, vol.4
, Issue.7
, pp. 1668-1675
-
-
Haghizade, A.1
Shui, L.T.2
Goudarzi, E.3
-
8
-
-
0034641121
-
River flow prediction using artificial neural networks: Generalisation beyond the calibration range
-
Imrie, C.E., S. Durucan and A. Korre, 2000. River flow prediction using artificial neural networks: generalisation beyond the calibration range. J. Hydrol., 233: 138-153.
-
(2000)
J. Hydrol.
, vol.233
, pp. 138-153
-
-
Imrie, C.E.1
Durucan, S.2
Korre, A.3
-
9
-
-
69249091837
-
Reservoir Sedimentation Estimation Using Artificial Neural Network
-
Jothiprakash, V. and V. Garg, 2009. Reservoir Sedimentation Estimation Using Artificial Neural Network. Journal of Hydrologic Engineering, 14: 1035-1040.
-
(2009)
Journal of Hydrologic Engineering
, vol.14
, pp. 1035-1040
-
-
Jothiprakash, V.1
Garg, V.2
-
10
-
-
53549097342
-
Artificial neural network estimation of soil erosion and nutrient concentrations in runoff from land application areas
-
Kim, M. and J.E. Gilley, 2008. Artificial neural network estimation of soil erosion and nutrient concentrations in runoff from land application areas. Compu. And Electr in Agri. J., 64: 268-275.
-
(2008)
Compu. And Electr in Agri. J.
, vol.64
, pp. 268-275
-
-
Kim, M.1
Gilley, J.E.2
-
11
-
-
48649099727
-
The potential of different ANN techniques in evapotranspiration modeling
-
Kisi, O., 2007. The potential of different ANN techniques in evapotranspiration modeling. Journal of Hydrological Process, 22(14): 2449-2460.
-
(2007)
Journal of Hydrological Process
, vol.22
, Issue.14
, pp. 2449-2460
-
-
Kisi, O.1
-
12
-
-
48549096154
-
Constructing neural network sediment estimation models using a data-driven algorithm
-
Kisi, O., 2008. Constructing neural network sediment estimation models using a data-driven algorithm. J. mathematics and Computers in Simulation, 79: 94-103.
-
(2008)
J. mathematics and Computers in Simulation
, vol.79
, pp. 94-103
-
-
Kisi, O.1
-
13
-
-
34547756974
-
Discussion of "Generalized regression neural networks for evapotranspiration modelling
-
Koutsoyiannis, D., 2007. Discussion of "Generalized regression neural networks for evapotranspiration modelling. J. Hydrol. Sci., 52(4): 832-835.
-
(2007)
J. Hydrol. Sci.
, vol.52
, Issue.4
, pp. 832-835
-
-
Koutsoyiannis, D.1
-
14
-
-
78650734426
-
Artificial neural networks approach in evapotranspiration modeling: A review
-
Kumar, M., N.S. Raghuwanshi and R. Singh, 2011. Artificial neural networks approach in evapotranspiration modeling: a review. Irrigation Science, 29(1): 11-25.
-
(2011)
Irrigation Science
, vol.29
, Issue.1
, pp. 11-25
-
-
Kumar, M.1
Raghuwanshi, N.S.2
Singh, R.3
-
15
-
-
48749131165
-
Turbidity-controlled suspended sediment sampling
-
Lewis, J. and R. Eads, 1996. Turbidity-controlled suspended sediment sampling. Management council networker, 6(4): 1-3.
-
(1996)
Management council networker
, vol.6
, Issue.4
, pp. 1-3
-
-
Lewis, J.1
Eads, R.2
-
16
-
-
84872692852
-
Development of Artificial Neural-Network-Based Models for the Simulation of Spring Discharge
-
Mohan Raju, M., R.K. Srivastava, C. S Dinesh, H.C. Bisht, Sharma and A. Kumar, 2011. Development of Artificial Neural-Network-Based Models for the Simulation of Spring Discharge. Advances in Artificial Intelligence, 1-11.
-
(2011)
Advances in Artificial Intelligence
, pp. 1-11
-
-
Mohan Raju, M.1
Srivastava, R.K.2
Dinesh, C.S.3
Bisht, H.C.4
Sharma5
Kumar, A.6
-
17
-
-
79951680934
-
Suspended sediment load prediction of river systems: An artificial neural network approach
-
Melesse, A.M., S. Ahmad, M.E. McClain, X. Wang and Y.H. Lim, 2011. Suspended sediment load prediction of river systems: An artificial neural network approach. Agricultural Water Management, 98: 855-866.
-
(2011)
Agricultural Water Management
, vol.98
, pp. 855-866
-
-
Melesse, A.M.1
Ahmad, S.2
McClain, M.E.3
Wang, X.4
Lim, Y.H.5
-
18
-
-
84872739908
-
Artificial Neural Networks Modeling in Water Resources Engineering: Infrastructure and Applications
-
Mustafa, M.R., M.H. Isa and R.B. Rezaur, 2012. Artificial Neural Networks Modeling in Water Resources Engineering: Infrastructure and Applications. World Academy of Science, Engineering and Technology, 62: 341-349.
-
(2012)
World Academy of Science, Engineering and Technology
, vol.62
, pp. 341-349
-
-
Mustafa, M.R.1
Isa, M.H.2
Rezaur, R.B.3
-
19
-
-
0036611003
-
Prediction of sediment load concentration in river using artificial neural network model
-
Nagy, H.M., K. Watanabe and M. Hirano, 2002. Prediction of sediment load concentration in river using artificial neural network model. J. hydraul. Eng., 128(6): 588-595.
-
(2002)
J. hydraul. Eng.
, vol.128
, Issue.6
, pp. 588-595
-
-
Nagy, H.M.1
Watanabe, K.2
Hirano, M.3
-
20
-
-
40549084354
-
Event-based sediment yield modeling using artificial neural network
-
Rai, R.K. and B.S. Mathur, 2008. Event-based sediment yield modeling using artificial neural network. Wat. Res. Manage. J., 22: 423-441.
-
(2008)
Wat. Res. Manage. J.
, vol.22
, pp. 423-441
-
-
Rai, R.K.1
Mathur, B.S.2
-
22
-
-
84860426597
-
Daily sediment yield modeling with artificial neural network using 10-fold cross validation method: A small agricultural watershed, Kapgari, India
-
Singh, G. and R. Panda, 2011. Daily sediment yield modeling with artificial neural network using 10-fold cross validation method: A small agricultural watershed, Kapgari, India. Inter. J. of Ear. Sci and Engi., 6(4): 443-450.
-
(2011)
Inter. J. of Ear. Sci and Engi.
, vol.6
, Issue.4
, pp. 443-450
-
-
Singh, G.1
Panda, R.2
-
23
-
-
0037470339
-
Improving peak flow estimates in artificial neural network river flow models
-
Sudheer, K.P., P.C. Nayak and K.S. Ramasastri, 2003. Improving peak flow estimates in artificial neural network river flow models. Hydrol. Process, 17: 677-686.
-
(2003)
Hydrol. Process
, vol.17
, pp. 677-686
-
-
Sudheer, K.P.1
Nayak, P.C.2
Ramasastri, K.S.3
-
24
-
-
0036898378
-
Artificial neural networks for sheet sediment transport
-
Tayfur, G., 2002. Artificial neural networks for sheet sediment transport. Hydrol. Sci. J., 47(6): 879-892.
-
(2002)
Hydrol. Sci. J.
, vol.47
, Issue.6
, pp. 879-892
-
-
Tayfur, G.1
-
25
-
-
0036197255
-
Estimation of instantaneous peak flows in Seyhan River Basin using regional regression procedures. Turk
-
For
-
Topaloulu, F., 2002. Estimation of instantaneous peak flows in Seyhan River Basin using regional regression procedures. Turk. j. Agric. For, 26: 47-55.
-
(2002)
J. Agric.
, vol.26
, pp. 47-55
-
-
Topaloulu, F.1
-
26
-
-
70349297493
-
Continuous simulation for flood estimation in ungauged mesoscale catchments of Switzerland-Part I: Modelling framework and calibration results
-
Viviroli, D., M. Zappa, J. Schwanbeck and R. Weingartner, 2009. Continuous simulation for flood estimation in ungauged mesoscale catchments of Switzerland-Part I: Modelling framework and calibration results. J. Hydro., 377: 191-207.
-
(2009)
J. Hydro.
, vol.377
, pp. 191-207
-
-
Viviroli, D.1
Zappa, M.2
Schwanbeck, J.3
Weingartner, R.4
-
27
-
-
70350075067
-
Time-lagged recurrent network for forecasting episodic event suspended sediment load in typhoon prone area
-
Wang, Y.M. and S. Traore, 2009. Time-lagged recurrent network for forecasting episodic event suspended sediment load in typhoon prone area. International Journal of Physical Sciences, 4(9): 519-528.
-
(2009)
International Journal of Physical Sciences
, vol.4
, Issue.9
, pp. 519-528
-
-
Wang, Y.M.1
Traore, S.2
-
28
-
-
33847389970
-
Estimation of suspended sediment discharge for a storm
-
Wang, Y.M., S.C. Juaug, C.C. Lai and T. Kerh, 2006. Estimation of suspended sediment discharge for a storm. Journal of University of Science and Technology Beijing, 28(2): 152-156.
-
(2006)
Journal of University of Science and Technology Beijing
, vol.28
, Issue.2
, pp. 152-156
-
-
Wang, Y.M.1
Juaug, S.C.2
Lai, C.C.3
Kerh, T.4
-
29
-
-
76549088933
-
Neural networks approaches for modeling river suspended sediment concentration due to tropical storms
-
Wang, Y.M., T. Kerh and S. Traore, 2009. Neural networks approaches for modeling river suspended sediment concentration due to tropical storms. Global NEST Journal, 11(4): 457-466.
-
(2009)
Global NEST Journal
, vol.11
, Issue.4
, pp. 457-466
-
-
Wang, Y.M.1
Kerh, T.2
Traore, S.3
-
30
-
-
84872737508
-
Applied neural networks, Rulin Publishing Co, Taiwan. For Vamsadhara river basin (India)
-
Yeh, Y.C., 1997. Applied neural networks, Rulin Publishing Co, Taiwan. For Vamsadhara river basin (India). Water SA, 31(1): 95-100.
-
(1997)
Water SA
, vol.31
, Issue.1
, pp. 95-100
-
-
Yeh, Y.C.1
|