-
3
-
-
60649118396
-
Artificial neural network modeling of the river water quality-a case study
-
Singh K P, Basant A, Malik A, Jain G. Artificial neural network modeling of the river water quality-a case study. Ecological Modelling, 2009, 220(6): 888-895.
-
(2009)
Ecological Modelling
, vol.220
, Issue.6
, pp. 888-895
-
-
Singh, K.P.1
Basant, A.2
Malik, A.3
Jain, G.4
-
4
-
-
77951175284
-
Methods used for the development of neural networks for the prediction of water resource variables in river systems: current status and future directions
-
Maier H R, Jain A, Dandy G C, Sudheer K PKPS. Methods used for the development of neural networks for the prediction of water resource variables in river systems: current status and future directions. Environmental Modelling & Software, 2010, 25(8): 891-909.
-
(2010)
Environmental Modelling & Software
, vol.25
, Issue.8
, pp. 891-909
-
-
Maier, H.R.1
Jain, A.2
Dandy, G.C.3
Sudheer, K.P.K.P.S.4
-
5
-
-
0032146239
-
Artificial neural network (the multilayer perceptron)-a review of applications in the atmospheric sciences
-
Gardner MW, Dorling S R. Artificial neural network (the multilayer perceptron)-a review of applications in the atmospheric sciences. Atmospheric Environment, 1998, 32(14-15): 2627-2636.
-
(1998)
Atmospheric Environment
, vol.32
, Issue.14-15
, pp. 2627-2636
-
-
Gardner, M.W.1
Dorling, S.R.2
-
6
-
-
0028174533
-
Optimization of groundwater remediation using artificial neural networks with parallel solute transport modeling
-
Rogers L L, Dowla F U. Optimization of groundwater remediation using artificial neural networks with parallel solute transport modeling. Water Resources Research, 1994, 30(2): 457-481.
-
(1994)
Water Resources Research
, vol.30
, Issue.2
, pp. 457-481
-
-
Rogers, L.L.1
Dowla, F.U.2
-
8
-
-
0031908080
-
A neural network approach to multiobjective optimization for water quality management in a river basin
-
Wen C W, Lee C S. A neural network approach to multiobjective optimization for water quality management in a river basin. Water Resources Research, 1998, 34(3): 427-436.
-
(1998)
Water Resources Research
, vol.34
, Issue.3
, pp. 427-436
-
-
Wen, C.W.1
Lee, C.S.2
-
9
-
-
0344604541
-
Artificial neural networks as a tool in ecological modelling, an introduction
-
Lek S, Guegan J F. Artificial neural networks as a tool in ecological modelling, an introduction. Ecological Modelling, 1999, 120(2-3): 65-73.
-
(1999)
Ecological Modelling
, vol.120
, Issue.2-3
, pp. 65-73
-
-
Lek, S.1
Guegan, J.F.2
-
10
-
-
0344066275
-
Evaluation of the ability of an artificial neural network model to assess the variation of groundwater quality in an area of blackfoot disease in Taiwan
-
Kuo YM, Liu CW, Lin K H. Evaluation of the ability of an artificial neural network model to assess the variation of groundwater quality in an area of blackfoot disease in Taiwan. Water Research, 2004, 38(1): 148-158.
-
(2004)
Water Research
, vol.38
, Issue.1
, pp. 148-158
-
-
Kuo, Y.M.1
Liu, C.W.2
Lin, K.H.3
-
11
-
-
56249121165
-
Modeling biological oxygen demand of the Melen River in Turkey using an artificial neural network technique
-
Dogan E, Sengorur B, Koklu R. Modeling biological oxygen demand of the Melen River in Turkey using an artificial neural network technique. Journal of Environmental Management, 2009, 90(2): 1229-1235.
-
(2009)
Journal of Environmental Management
, vol.90
, Issue.2
, pp. 1229-1235
-
-
Dogan, E.1
Sengorur, B.2
Koklu, R.3
-
12
-
-
34247605500
-
Data mining to support anaerobic WWTP monitoring
-
Dixon M, Gallop J, Lambert S, Lardon L, Healy J, Steyer J. Data mining to support anaerobic WWTP monitoring. Control Engineering Practice, 2007, 15(8): 987-999.
-
(2007)
Control Engineering Practice
, vol.15
, Issue.8
, pp. 987-999
-
-
Dixon, M.1
Gallop, J.2
Lambert, S.3
Lardon, L.4
Healy, J.5
Steyer, J.6
-
13
-
-
64049085359
-
A proximate dynamics model for data mining
-
Yin Y F. A proximate dynamics model for data mining. Expert Systems with Applications, 2009, 36(6): 9819-9833.
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.6
, pp. 9819-9833
-
-
Yin, Y.F.1
-
15
-
-
1642336479
-
Use of artificial neural networks for predicting optimal alum doses and treated water quality parameters
-
Holger R M, Nicolas M, Maier H, Christopher W K C. Use of artificial neural networks for predicting optimal alum doses and treated water quality parameters. Environmental Modelling & Software, 2004, 19(5): 485-494.
-
(2004)
Environmental Modelling & Software
, vol.19
, Issue.5
, pp. 485-494
-
-
Holger, R.M.1
Nicolas, M.2
Maier, H.3
Christopher, W.K.C.4
-
16
-
-
0037441163
-
Predicting contaminant removal during municipal drinking water nanofiltration using artificial neural networks
-
Grishma R S, Heidar M, Shankararaman C. Predicting contaminant removal during municipal drinking water nanofiltration using artificial neural networks. Journal of Membrane Science, 2003, 212(1-2): 99-112.
-
(2003)
Journal of Membrane Science
, vol.212
, Issue.1-2
, pp. 99-112
-
-
Grishma, R.S.1
Heidar, M.2
Shankararaman, C.3
-
17
-
-
62549089256
-
A method for improving the accuracy of data mining classification algorithms
-
Nikolaos M, Mastrogiannis N, Boutsinas B, Giannikos I, Basilis B, Ioannis G. A method for improving the accuracy of data mining classification algorithms. Computers & Operations Research, 2009, 36(10): 2829-2839.
-
(2009)
Computers & Operations Research
, vol.36
, Issue.10
, pp. 2829-2839
-
-
Nikolaos, M.1
Mastrogiannis, N.2
Boutsinas, B.3
Giannikos, I.4
Basilis, B.5
Ioannis, G.6
-
18
-
-
0037389847
-
Integration of data mining techniques and heuristic knowledge in fuzzy logic modeling of eutrophication in Taihu Lake
-
Chen Q W, Chen Q, Mynett A E, Arthur E M. Integration of data mining techniques and heuristic knowledge in fuzzy logic modeling of eutrophication in Taihu Lake. Ecological Modelling, 2003, 162(1-2): 55-67.
-
(2003)
Ecological Modelling
, vol.162
, Issue.1-2
, pp. 55-67
-
-
Chen, Q.W.1
Chen, Q.2
Mynett, A.E.3
Arthur, E.M.4
-
19
-
-
33750532572
-
A data mining approach for heavy rainfall forecasting based on satellite image sequence analysis
-
Yang Y B, Lin H, Guo Z Y, Jiang J X. A data mining approach for heavy rainfall forecasting based on satellite image sequence analysis. Computers & Geosciences, 2007, 33(1): 20-30.
-
(2007)
Computers & Geosciences
, vol.33
, Issue.1
, pp. 20-30
-
-
Yang, Y.B.1
Lin, H.2
Guo, Z.Y.3
Jiang, J.X.4
-
20
-
-
36048961066
-
Toward a hybrid data mining model for customer retention
-
Chu B H, Tsai M S, Ho C S. Toward a hybrid data mining model for customer retention. Knowledge-Based Systems, 2007, 20(8): 703-718.
-
(2007)
Knowledge-Based Systems
, vol.20
, Issue.8
, pp. 703-718
-
-
Chu, B.H.1
Tsai, M.S.2
Ho, C.S.3
-
23
-
-
77949315432
-
Evaluation of spatial and temporal variation in water quality by pattern recognition techniques: a case study on Jajrood River (Tehran, Iran)
-
Razmkhah H, Abrishamchi A, Torkian A. Evaluation of spatial and temporal variation in water quality by pattern recognition techniques: a case study on Jajrood River (Tehran, Iran). Journal of Environmental Management, 2010, 91(4): 852-860.
-
(2010)
Journal of Environmental Management
, vol.91
, Issue.4
, pp. 852-860
-
-
Razmkhah, H.1
Abrishamchi, A.2
Torkian, A.3
-
24
-
-
58649098773
-
Using particle swarm optimization algorithm in an artificial neural network to forecast the strength of paste filling material
-
Chang Q L, Zhou H Q, Hou C J. Using particle swarm optimization algorithm in an artificial neural network to forecast the strength of paste filling material. Journal of China University of Mining and Technology, 2008, 18(4): 551-555.
-
(2008)
Journal of China University of Mining and Technology
, vol.18
, Issue.4
, pp. 551-555
-
-
Chang, Q.L.1
Zhou, H.Q.2
Hou, C.J.3
-
25
-
-
71349088571
-
The practical research on flood forecasting based on artificial neural networks
-
Feng L H, Lu J. The practical research on flood forecasting based on artificial neural networks. Expert Systems with Applications, 2010, 37(4): 2974-2977.
-
(2010)
Expert Systems with Applications
, vol.37
, Issue.4
, pp. 2974-2977
-
-
Feng, L.H.1
Lu, J.2
-
26
-
-
49849106661
-
An ANN application for water quality forecasting
-
Palani S, Liong S Y, Tkalich P. An ANN application for water quality forecasting. Marine Pollution Bulletin, 2008, 56(9): 1586-1597.
-
(2008)
Marine Pollution Bulletin
, vol.56
, Issue.9
, pp. 1586-1597
-
-
Palani, S.1
Liong, S.Y.2
Tkalich, P.3
-
27
-
-
31044433834
-
10 hourly concentrations, in the Greater Area of Athens, Greece
-
10 hourly concentrations, in the Greater Area of Athens, Greece. Atmospheric Environment, 2006, 40(7): 1216-1229.
-
(2006)
Atmospheric Environment
, vol.40
, Issue.7
, pp. 1216-1229
-
-
Grivas, G.1
Chaloulakou, A.2
-
28
-
-
0037128648
-
Application of artificial neural networks in tideforecasting
-
Lee T L, Jeng D S. Application of artificial neural networks in tideforecasting. Ocean Engineering, 2002, 29(9): 1003-1022.
-
(2002)
Ocean Engineering
, vol.29
, Issue.9
, pp. 1003-1022
-
-
Lee, T.L.1
Jeng, D.S.2
-
29
-
-
0034641121
-
River flow prediction using artificial neural networks: generalisation beyond the calibration range
-
Imrie C E, Durucan S, Korre A. River flow prediction using artificial neural networks: generalisation beyond the calibration range. Journal of Hydrology (Amsterdam), 2000, 233(1-4): 138-153.
-
(2000)
Journal of Hydrology (Amsterdam)
, vol.233
, Issue.1-4
, pp. 138-153
-
-
Imrie, C.E.1
Durucan, S.2
Korre, A.3
-
30
-
-
38949173082
-
Source tracking of microbial intrusion in water systems using artificial neural networks
-
Kim M, Choi C Y, Gerba C P. Source tracking of microbial intrusion in water systems using artificial neural networks. Water Research, 2008, 42(4-5): 1308-1314.
-
(2008)
Water Research
, vol.42
, Issue.4-5
, pp. 1308-1314
-
-
Kim, M.1
Choi, C.Y.2
Gerba, C.P.3
-
31
-
-
8144223855
-
Neural network model for the prediction of wave-induced liquefaction potential
-
Jeng D S, Daeho C, Michael B. Neural network model for the prediction of wave-induced liquefaction potential. Ocean Engineering, 2004, 31(17-18): 2073-2086.
-
(2004)
Ocean Engineering
, vol.31
, Issue.17-18
, pp. 2073-2086
-
-
Jeng, D.S.1
Daeho, C.2
Michael, B.3
-
33
-
-
0027205884
-
A scaled conjugate gradient algorithm for fast supervised learning
-
Moller M F. A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks, 1993, 6(4): 525-533.
-
(1993)
Neural Networks
, vol.6
, Issue.4
, pp. 525-533
-
-
Moller, M.F.1
-
34
-
-
77955276087
-
Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds
-
Adamowski J, Sun K. Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. Journal of Hydrology (Amsterdam), 2010, 390(1-2): 85-91.
-
(2010)
Journal of Hydrology (Amsterdam)
, vol.390
, Issue.1-2
, pp. 85-91
-
-
Adamowski, J.1
Sun, K.2
-
35
-
-
52949094240
-
Optimal laser-cutting parameters for QFN packages by utilizing artificial neural networks and genetic algorithm
-
Tsai M J, Li C H, Chen C C. Optimal laser-cutting parameters for QFN packages by utilizing artificial neural networks and genetic algorithm. Journal of Materials Processing Technology, 2008, 208(1-3): 270-283.
-
(2008)
Journal of Materials Processing Technology
, vol.208
, Issue.1-3
, pp. 270-283
-
-
Tsai, M.J.1
Li, C.H.2
Chen, C.C.3
|