-
1
-
-
84859105089
-
Using Pacific Ocean climatic variability to improve hydrologic reconstructions
-
S.R.Anderson, et al., 2012. Using Pacific Ocean climatic variability to improve hydrologic reconstructions. Journal of Hydrology, 434–435, 69–77.
-
(2012)
Journal of Hydrology
, vol.434-435
, pp. 69-77
-
-
Anderson, S.R.1
-
3
-
-
84979976947
-
A review of climate signals as predictors of long-term hydro-climatic variability
-
Tarhule A., (ed), InTech
-
S.Araghinejad, and E.Meidani, 2014. A review of climate signals as predictors of long-term hydro-climatic variability. In:A.Tarhule, ed. Climate variability - regional and thematic patterns. Croatia:InTech, 107–131.
-
(2014)
Climate variability - regional and thematic patterns
, pp. 107-131
-
-
Araghinejad, S.1
Meidani, E.2
-
4
-
-
84921903784
-
Adaptive policy responses to water shortage mitigation in the arid regions—a systematic approach based on eDPSIR, DEMATEL, and MCDA
-
A.Azarnivand, and N.Chitsaz, 2015. Adaptive policy responses to water shortage mitigation in the arid regions—a systematic approach based on eDPSIR, DEMATEL, and MCDA. Environmental Monitoring and Assessment, 187 (2), 1–15. doi:10.1007/s10661-014-4225-4
-
(2015)
Environmental Monitoring and Assessment
, vol.187
, Issue.2
, pp. 1-15
-
-
Azarnivand, A.1
Chitsaz, N.2
-
5
-
-
77955216778
-
Identification of Pacific Ocean sea surface temperature influences of Upper Colorado River Basin snowpack
-
O.A.Aziz, et al., 2010. Identification of Pacific Ocean sea surface temperature influences of Upper Colorado River Basin snowpack. Water Resources Research, 46, 7. doi:10.1029/2009WR008053
-
(2010)
Water Resources Research
, vol.46
, pp. 7
-
-
Aziz, O.A.1
-
6
-
-
84870242425
-
Application of generalized regression neural networks in predicting the unconfined compressive strength of carbonate rocks
-
N.Ceryan, U.Okkan, and A.Kesimal, 2012. Application of generalized regression neural networks in predicting the unconfined compressive strength of carbonate rocks. Rock Mechanics and Rock Engineering, 45 (6), 1055–1072. doi:10.1007/s00603-012-0239-9
-
(2012)
Rock Mechanics and Rock Engineering
, vol.45
, Issue.6
, pp. 1055-1072
-
-
Ceryan, N.1
Okkan, U.2
Kesimal, A.3
-
7
-
-
69849094925
-
Variabilities of the spring river runoff system in East China and their relations to precipitation and sea surface temperature
-
W.Chen, et al., 2009. Variabilities of the spring river runoff system in East China and their relations to precipitation and sea surface temperature. International Journal of Climatology, 29, 1381–1394. doi:10.1002/joc.v29:10
-
(2009)
International Journal of Climatology
, vol.29
, pp. 1381-1394
-
-
Chen, W.1
-
8
-
-
24944573867
-
Long-term prediction of discharges in Manwan Reservoir using artificial neural network models
-
Berlin: Springer
-
C.Cheng, et al., 2005. Long-term prediction of discharges in Manwan Reservoir using artificial neural network models. In:J. Wang, X.-F. Liao, and Z. Yi, eds. Advances in neural networks–ISNN 2005. Berlin:Springer, 1040–1045.
-
(2005)
Advances in neural networks–ISNN 2005
, pp. 1040-1045
-
-
Cheng, C.1
-
9
-
-
84961390532
-
Multiple linear regression, multi-layer perceptron network and adaptive neuro-fuzzy inference system for the prediction of precipitation based on large-scale climate signals
-
B.Choubin, et al., 2014. Multiple linear regression, multi-layer perceptron network and adaptive neuro-fuzzy inference system for the prediction of precipitation based on large-scale climate signals. Hydrological Sciences Journal. doi:10.1080/02626667.2014.966721
-
(2014)
Hydrological Sciences Journal
-
-
Choubin, B.1
-
10
-
-
27944503514
-
Generalized regression neural network in monthly flow forecasting
-
H.K.Cigizoglu, 2005. Generalized regression neural network in monthly flow forecasting. Civil Engineering and Environmental Systems, 22 (2), 71–81. doi:10.1080/10286600500126256
-
(2005)
Civil Engineering and Environmental Systems
, vol.22
, Issue.2
, pp. 71-81
-
-
Cigizoglu, H.K.1
-
11
-
-
84949115981
-
Assessing the impact of El Niño Modoki on seasonal precipitation in Colombia
-
S.Córdoba-Machado, et al., 2015. Assessing the impact of El Niño Modoki on seasonal precipitation in Colombia. Global and Planetary Change, 124, 41–61. doi:10.1016/j.gloplacha.2014.11.003
-
(2015)
Global and Planetary Change
, vol.124
, pp. 41-61
-
-
Córdoba-Machado, S.1
-
12
-
-
0034621379
-
Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
-
P.Coulibaly, F.Anctil, and B.Bobée, 2000. Daily reservoir inflow forecasting using artificial neural networks with stopped training approach. Journal of Hydrology, 230 (3–4), 244–257. doi:10.1016/S0022-1694(00)00214-6
-
(2000)
Journal of Hydrology
, vol.230
, Issue.3-4
, pp. 244-257
-
-
Coulibaly, P.1
Anctil, F.2
Bobée, B.3
-
13
-
-
77954144514
-
Application of ANN and ANFIS models for reconstructing missing flow data
-
M.T.Dastorani, et al., 2010. Application of ANN and ANFIS models for reconstructing missing flow data. Environmental Monitoring and Assessment, 166 (1–4), 421–434. doi:10.1007/s10661-009-1012-8
-
(2010)
Environmental Monitoring and Assessment
, vol.166
, Issue.1-4
, pp. 421-434
-
-
Dastorani, M.T.1
-
14
-
-
0032005702
-
An artificial neural network approach to rainfall-runoff modelling
-
C.W.Dawson, and R.Wilby, 1998. An artificial neural network approach to rainfall-runoff modelling. Hydrological Sciences Journal, 43, 47–66. doi:10.1080/02626669809492102
-
(1998)
Hydrological Sciences Journal
, vol.43
, pp. 47-66
-
-
Dawson, C.W.1
Wilby, R.2
-
15
-
-
0035874457
-
The Atlantic Multidecadal Oscillation and its relation to rainfall and river flows in the continental U.S
-
D.B.Enfield, A.M.Mestas-Nuñez, and P.J.Trimble, 2001. The Atlantic Multidecadal Oscillation and its relation to rainfall and river flows in the continental U.S. Geophysical Research Letters, 28 (10), 2077–2080. doi:10.1029/2000GL012745
-
(2001)
Geophysical Research Letters
, vol.28
, Issue.10
, pp. 2077-2080
-
-
Enfield, D.B.1
Mestas-Nuñez, A.M.2
Trimble, P.J.3
-
16
-
-
82155179310
-
Agricultural drought forecasting using satellite images, climate indices and artificial neural network
-
A.Fatehi Marj, and A.M.J.Meijerink, 2011. Agricultural drought forecasting using satellite images, climate indices and artificial neural network. International Journal of Remote Sensing, 32 (24), 9707–9719. doi:10.1080/01431161.2011.575896
-
(2011)
International Journal of Remote Sensing
, vol.32
, Issue.24
, pp. 9707-9719
-
-
Fatehi Marj, A.1
Meijerink, A.M.J.2
-
17
-
-
79956205356
-
Tsunami run-up height forecasting by using artificial neural networks
-
K.Günaydın, and A.Günaydın, 2011. Tsunami run-up height forecasting by using artificial neural networks. Civil Engineering and Environmental Systems, 28 (2), 165–181. doi:10.1080/10286608.2010.526703
-
(2011)
Civil Engineering and Environmental Systems
, vol.28
, Issue.2
, pp. 165-181
-
-
Günaydın, K.1
Günaydın, A.2
-
18
-
-
84863835985
-
Neural network based seasonal predictions of lake-effect snowfall
-
H.Hartmann, 2012. Neural network based seasonal predictions of lake-effect snowfall. Atmosphere- Ocean, 50 (1), 31–41. doi:10.1080/07055900.2012.657153
-
(2012)
Atmosphere- Ocean
, vol.50
, Issue.1
, pp. 31-41
-
-
Hartmann, H.1
-
19
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
K.Hornik, M.Stinchcombe, and H.White, 1989. Multilayer feedforward networks are universal approximators. Neural Networks, 2 (5), 359–366. doi:10.1016/0893-6080(89)90020-8
-
(1989)
Neural Networks
, vol.2
, Issue.5
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
20
-
-
84931565528
-
Monthly and seasonal drought forecasting using statistical neural networks
-
S.M.Hosseini-Moghari, and S.Araghinejad, 2015. Monthly and seasonal drought forecasting using statistical neural networks. Environmental Earth Sciences, 74, 397–412. doi:10.1007/s12665-015-4047-x
-
(2015)
Environmental Earth Sciences
, vol.74
-
-
Hosseini-Moghari, S.M.1
Araghinejad, S.2
-
21
-
-
0029413797
-
Artificial neural network modeling of the rainfall-runoff process
-
K.-L.Hsu, H.V.Gupta, and S.Sorooshian, 1995. Artificial neural network modeling of the rainfall-runoff process. Water Resources Research, 31 (10), 2517–2530. doi:10.1029/95WR01955
-
(1995)
Water Resources Research
, vol.31
, Issue.10
, pp. 2517-2530
-
-
Hsu, K.-L.1
Gupta, H.V.2
Sorooshian, S.3
-
22
-
-
34547265730
-
Rainfall-runoff modeling using principal component analysis and neural network
-
T.Hu, F.Wu, and X.Zhang, 2007. Rainfall-runoff modeling using principal component analysis and neural network. Nordic Hydrology, 38 (3), 235–248. doi:10.2166/nh.2007.010
-
(2007)
Nordic Hydrology
, vol.38
, Issue.3
, pp. 235-248
-
-
Hu, T.1
Wu, F.2
Zhang, X.3
-
23
-
-
0029479274
-
Decadal trends in the North Atlantic Oscillation: regional temperatures and precipitation
-
J.W.Hurrell, 1995. Decadal trends in the North Atlantic Oscillation:regional temperatures and precipitation. Science, 269 (5224), 676–679. doi:10.1126/science.269.5224.676
-
(1995)
Science
, vol.269
, Issue.5224
, pp. 676-679
-
-
Hurrell, J.W.1
-
24
-
-
0027601884
-
ANFIS: adaptive-network-based fuzzy inference system
-
J.Jang, 1993. ANFIS:adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man and Cybernetics, 23 (3), 665–685. doi:10.1109/21.256541
-
(1993)
IEEE Transactions on Systems, Man and Cybernetics
, vol.23
, Issue.3
, pp. 665-685
-
-
Jang, J.1
-
25
-
-
84979995951
-
Hazard assessment of desertification as a result of soil and water recourse degradation in Kashan Region, Iran
-
H.Khosravi, et al., 2014. Hazard assessment of desertification as a result of soil and water recourse degradation in Kashan Region, Iran. Desert, 19, 45–55.
-
(2014)
Desert
, vol.19
, pp. 45-55
-
-
Khosravi, H.1
-
26
-
-
0032845493
-
HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems
-
J.Kim, and N.Kasabov, 1999. HyFIS:adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems. Neural Networks, 12, 1301–1319. doi:10.1016/S0893-6080(99)00067-2
-
(1999)
Neural Networks
, vol.12
, pp. 1301-1319
-
-
Kim, J.1
Kasabov, N.2
-
27
-
-
60849126964
-
Adaptive neuro-fuzzy computing technique for suspended sediment estimation
-
O.Kisi, et al., S. 2009. Adaptive neuro-fuzzy computing technique for suspended sediment estimation. Advances in Engineering Software, 40 (6), 438–444.
-
(2009)
Advances in Engineering Software
, vol.40
, Issue.6
, pp. 438-444
-
-
Kisi, O.1
-
28
-
-
84939249695
-
One-day-ahead streamflow forecasting using artificial neural networks and a meteorological mesoscale model
-
A.Linares-Rodriguez, et al., 2015. One-day-ahead streamflow forecasting using artificial neural networks and a meteorological mesoscale model. Journal of Hydrologic Engineering, 20, 05015001. doi:10.1061/(ASCE)HE.1943-5584.0001163
-
(2015)
Journal of Hydrologic Engineering
, vol.20
-
-
Linares-Rodriguez, A.1
-
29
-
-
51649097829
-
PCA and SVD with nonnegative loadings
-
S.Lipovetsky, 2009. PCA and SVD with nonnegative loadings. Pattern Recognition, 42 (1), 68–76. doi:10.1016/j.patcog.2008.06.025
-
(2009)
Pattern Recognition
, vol.42
, Issue.1
, pp. 68-76
-
-
Lipovetsky, S.1
-
30
-
-
70350129932
-
Bridge afflux analysis through arched bridge constrictions using artificial intelligence methods
-
M.Mamak, et al., 2009. Bridge afflux analysis through arched bridge constrictions using artificial intelligence methods. Civil Engineering and Environmental Systems, 26 (3), 279–293. doi:10.1080/10286600802151804
-
(2009)
Civil Engineering and Environmental Systems
, vol.26
, Issue.3
, pp. 279-293
-
-
Mamak, M.1
-
31
-
-
33751428182
-
Singular spectrum analysis and forecasting of hydrological time series
-
C.A.F.Marques, et al., 2006. Singular spectrum analysis and forecasting of hydrological time series. Physics and Chemistry of the Earth, Parts A/B/C, 31 (18), 1172–1179. doi:10.1016/j.pce.2006.02.061
-
(2006)
Physics and Chemistry of the Earth, Parts A/B/C
, vol.31
, Issue.18
, pp. 1172-1179
-
-
Marques, C.A.F.1
-
32
-
-
79952299253
-
Atlantic and Pacific sea surface temperatures and corn yields in the southeastern USA: lagged relationships and forecast model development
-
C.J.Martinez, and J.W.Jones, 2011. Atlantic and Pacific sea surface temperatures and corn yields in the southeastern USA:lagged relationships and forecast model development. International Journal of Climatology, 31, 592–604. doi:10.1002/joc.v31.4
-
(2011)
International Journal of Climatology
, vol.31
, pp. 592-604
-
-
Martinez, C.J.1
Jones, J.W.2
-
33
-
-
59549104503
-
Analysing streamflow variability and water allocation for sustainable management of water resources in the semi-arid Karkheh river basin, Iran
-
I.Masih, et al., 2009. Analysing streamflow variability and water allocation for sustainable management of water resources in the semi-arid Karkheh river basin, Iran. Physics and Chemistry of the Earth, 34, 329–340. doi:10.1016/j.pce.2008.09.006
-
(2009)
Physics and Chemistry of the Earth
, vol.34
, pp. 329-340
-
-
Masih, I.1
-
34
-
-
33750742025
-
Analysis of ANFIS model for polymerization process
-
Gabrys B., Howlett R.-J., Jain L.-C., (eds), Berlin: Springer
-
H.Matsumoto, C.Lin, and C.Kuroda, 2006. Analysis of ANFIS model for polymerization process. In:B.Gabrys, R.-J.Howlett, and L.-C.Jain, eds. Knowledge-based intelligent information and engineering systems. Berlin:Springer, 561–568.
-
(2006)
Knowledge-based intelligent information and engineering systems
, pp. 561-568
-
-
Matsumoto, H.1
Lin, C.2
Kuroda, C.3
-
35
-
-
33747853860
-
Drought forecasting using feed-forward recursive neural network
-
A.K.Mishra, & V.R.Desai, 2006. Drought forecasting using feed-forward recursive neural network. Ecological Modelling, 198 (1–5), 127–138.
-
(2006)
Ecological Modelling
, vol.198
, Issue.1-5
, pp. 127-138
-
-
Mishra, A.K.1
Desai, V.R.2
-
36
-
-
37249024658
-
Drought forecasting using artificial neural networks and time series of drought indices
-
S.Morid, V.Smakhtin, and K.Bagherzadeh, 2007. Drought forecasting using artificial neural networks and time series of drought indices. International Journal of Climatology, 27, 2103–2111. doi:10.1002/(ISSN)1097-0088
-
(2007)
International Journal of Climatology
, vol.27
, pp. 2103-2111
-
-
Morid, S.1
Smakhtin, V.2
Bagherzadeh, K.3
-
37
-
-
33845384467
-
Neural network and genetic programming for modelling coastal algal blooms
-
N.Muttil, and K.W.Chau, 2006. Neural network and genetic programming for modelling coastal algal blooms. International Journal of Environment and Pollution, 28 (3/4), 223–238. doi:10.1504/IJEP.2006.011208
-
(2006)
International Journal of Environment and Pollution
, vol.28
, Issue.3-4
, pp. 223-238
-
-
Muttil, N.1
Chau, K.W.2
-
38
-
-
0014776873
-
River flow forecasting through conceptual models part I — a discussion of principles
-
J.E.Nash, and J.V.Sutcliffe, 1970. River flow forecasting through conceptual models part I — a discussion of principles. Journal of Hydrology, 10 (3), 282–290. doi:10.1016/0022-1694(70)90255-6
-
(1970)
Journal of Hydrology
, vol.10
, Issue.3
, pp. 282-290
-
-
Nash, J.E.1
Sutcliffe, J.V.2
-
40
-
-
34447527322
-
Wavelet and neuro-fuzzy conjunction model for precipitation forecasting
-
T.Partal, and Ö.Kişi, 2007. Wavelet and neuro-fuzzy conjunction model for precipitation forecasting. Journal of Hydrology, 342 (1–2), 199–212. doi:10.1016/j.jhydrol.2007.05.026
-
(2007)
Journal of Hydrology
, vol.342
, Issue.1-2
, pp. 199-212
-
-
Partal, T.1
Kişi, Ö.2
-
41
-
-
69949143939
-
Application of neural network and adaptive neuro-fuzzy inference systems for river flow prediction
-
N.Pramanik, & R.K.Panda, 2009. Application of neural network and adaptive neuro-fuzzy inference systems for river flow prediction. Hydrological Sciences Journal, 54 (2), 247–260.
-
(2009)
Hydrological Sciences Journal
, vol.54
, Issue.2
, pp. 247-260
-
-
Pramanik, N.1
Panda, R.K.2
-
42
-
-
84920431776
-
Wavelet-ANFIS models for forecasting monsoon flows: case study for the Gandak River (India)
-
R.R.Sahay, and V.Sehgal, 2014. Wavelet-ANFIS models for forecasting monsoon flows:case study for the Gandak River (India). Water Resources, 41 (5), 574–582. doi:10.1134/S0097807814050108
-
(2014)
Water Resources
, vol.41
, Issue.5
, pp. 574-582
-
-
Sahay, R.R.1
Sehgal, V.2
-
43
-
-
84947036007
-
Predicting ESP and SAR by artificial neural network and regression models using soil pH and EC data (Miankangi Region, Sistan and Baluchestan Province, Iran)
-
(just-accepted)
-
F.Sarani, A.G.Ahangar, and A.Shabani, 2015. Predicting ESP and SAR by artificial neural network and regression models using soil pH and EC data (Miankangi Region, Sistan and Baluchestan Province, Iran). Archives of Agronomy and Soil Science, (just-accepted). 1–12. doi:10.1080/03650340.2015.1040398
-
(2015)
Archives of Agronomy and Soil Science
-
-
Sarani, F.1
Ahangar, A.G.2
Shabani, A.3
-
44
-
-
84910653625
-
Performance comparison of Adoptive Neuro Fuzzy Inference System (ANFIS) with Loading Simulation Program C++ (LSPC) model for streamflow simulation in El Niño Southern Oscillation (ENSO)-affected watershed
-
S.Sharma, et al., 2015. Performance comparison of Adoptive Neuro Fuzzy Inference System (ANFIS) with Loading Simulation Program C++ (LSPC) model for streamflow simulation in El Niño Southern Oscillation (ENSO)-affected watershed. Expert Systems with Applications, 42, 2213–2223. doi:10.1016/j.eswa.2014.09.062
-
(2015)
Expert Systems with Applications
, vol.42
, pp. 2213-2223
-
-
Sharma, S.1
-
45
-
-
84912068420
-
Long-term precipitation forecast for drought relief using atmospheric circulation factors: a study on the Maharloo Basin in Iran
-
S.K.Sigaroodi, et al., 2013. Long-term precipitation forecast for drought relief using atmospheric circulation factors:a study on the Maharloo Basin in Iran. Hydrology and Earth System Sciences Discussions, 10, 13333–13361. doi:10.5194/hessd-10-13333-2013
-
(2013)
Hydrology and Earth System Sciences Discussions
, vol.10
, pp. 13333-13361
-
-
Sigaroodi, S.K.1
-
46
-
-
84900441306
-
Metal oxide SAW E-nose employing PCA and ANN for the identification of binary mixture of DMMP and methanol
-
H.Singh, et al., 2014. Metal oxide SAW E-nose employing PCA and ANN for the identification of binary mixture of DMMP and methanol. Sensors and Actuators B:Chemical, 200, 147–156. doi:10.1016/j.snb.2014.04.065
-
(2014)
Sensors and Actuators B: Chemical
, vol.200
, pp. 147-156
-
-
Singh, H.1
-
47
-
-
33846453985
-
Genetic programming model for forecast of short and noisy data
-
C.Sivapragasam, P.Vincent, and G.Vasudevan, 2007. Genetic programming model for forecast of short and noisy data. Hydrological Processes, 21 (2), 266–272. doi:10.1002/(ISSN)1099-1085
-
(2007)
Hydrological Processes
, vol.21
, Issue.2
, pp. 266-272
-
-
Sivapragasam, C.1
Vincent, P.2
Vasudevan, G.3
-
48
-
-
84919329541
-
Streamflow forecasting for operational water management in the Incomati River Basin, Southern Africa
-
R.K.M.Sunday, et al., 2014. Streamflow forecasting for operational water management in the Incomati River Basin, Southern Africa. Physics and Chemistry of the Earth, 72-75, 1–12. doi:10.1016/j.pce.2014.09.002
-
(2014)
Physics and Chemistry of the Earth
, vol.72-75
, pp. 1-12
-
-
Sunday, R.K.M.1
-
49
-
-
84924153739
-
Neural network river forecasting with multi-objective fully informed particle swarm optimization
-
R.Taormina, and K.-W.Chau, 2015. Neural network river forecasting with multi-objective fully informed particle swarm optimization. Journal of Hydroinformatics, 17 (1), 99–113. doi:10.2166/hydro.2014.116
-
(2015)
Journal of Hydroinformatics
, vol.17
, Issue.1
, pp. 99-113
-
-
Taormina, R.1
Chau, K.-W.2
-
50
-
-
0034694775
-
Comparison of short-term rainfall prediction models for real-time flood forecasting
-
E.Toth, A.Brath, and A.Montanari, 2000. Comparison of short-term rainfall prediction models for real-time flood forecasting. Journal of Hydrology, 239 (1–4), 132–147. doi:10.1016/S0022-1694(00)00344-9
-
(2000)
Journal of Hydrology
, vol.239
, Issue.1-4
, pp. 132-147
-
-
Toth, E.1
Brath, A.2
Montanari, A.3
-
52
-
-
33644891019
-
Modelling electrical conductivity of groundwater using an adaptive neuro-fuzzy inference system
-
B.Tutmez, Z.Hatipoglu, and U.Kaymak, 2006. Modelling electrical conductivity of groundwater using an adaptive neuro-fuzzy inference system. Computers & Geosciences, 32 (4), 421–433. doi:10.1016/j.cageo.2005.07.003
-
(2006)
Computers & Geosciences
, vol.32
, Issue.4
, pp. 421-433
-
-
Tutmez, B.1
Hatipoglu, Z.2
Kaymak, U.3
-
53
-
-
0000634523
-
Singular value decomposition of wintertime sea surface temperature and 500-mb height anomalies
-
J.M.Wallace, D.S.Gutzler, and C.S.Bretheron, 1992. Singular value decomposition of wintertime sea surface temperature and 500-mb height anomalies. Journal of Climate, 5, 561–576. doi:10.1175/1520-0442(1992)005<0561:SVDOWS>2.0.CO;2
-
(1992)
Journal of Climate
, vol.5
, pp. 561-576
-
-
Wallace, J.M.1
Gutzler, D.S.2
Bretheron, C.S.3
-
54
-
-
68349105875
-
A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
-
W.-C.Wang, et al., 2009. A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series. Journal of Hydrology, 374 (3–4), 294–306. doi:10.1016/j.jhydrol.2009.06.019
-
(2009)
Journal of Hydrology
, vol.374
, Issue.3-4
, pp. 294-306
-
-
Wang, W.-C.1
-
55
-
-
77958035437
-
Data-driven models for monthly streamflow time series prediction
-
C.L.Wu, and K.W.Chau, 2010. Data-driven models for monthly streamflow time series prediction. Engineering Applications of Artificial Intelligence, 23 (8), 1350–1367. doi:10.1016/j.engappai.2010.04.003
-
(2010)
Engineering Applications of Artificial Intelligence
, vol.23
, Issue.8
, pp. 1350-1367
-
-
Wu, C.L.1
Chau, K.W.2
-
56
-
-
77954384622
-
Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques
-
C.L.Wu, K.W.Chau, and C.Fan, 2010. Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques. Journal of Hydrology, 389 (1–2), 146–167. doi:10.1016/j.jhydrol.2010.05.040
-
(2010)
Journal of Hydrology
, vol.389
, Issue.1-2
, pp. 146-167
-
-
Wu, C.L.1
Chau, K.W.2
Fan, C.3
-
57
-
-
47949121319
-
River stage prediction based on a distributed support vector regression
-
C.L.Wu, K.W.Chau, and Y.S.Li, 2008. River stage prediction based on a distributed support vector regression. Journal of Hydrology, 358 (1–2), 96–111. doi:10.1016/j.jhydrol.2008.05.028
-
(2008)
Journal of Hydrology
, vol.358
, Issue.1-2
, pp. 96-111
-
-
Wu, C.L.1
Chau, K.W.2
Li, Y.S.3
-
58
-
-
65749118118
-
Methods to improve neural network performance in daily flows prediction
-
C.L.Wu, K.W.Chau, and Y.S.Li, 2009. Methods to improve neural network performance in daily flows prediction. Journal of Hydrology, 372 (1–4), 80–93. doi:10.1016/j.jhydrol.2009.03.038
-
(2009)
Journal of Hydrology
, vol.372
, Issue.1-4
, pp. 80-93
-
-
Wu, C.L.1
Chau, K.W.2
Li, Y.S.3
-
59
-
-
0030731329
-
ENSO-like interdecadal variability: 1900–93
-
Y.Zhang, J.M.Wallace, and D.S.Battisti, 1997. ENSO-like interdecadal variability:1900–93. Journal of Climate, 10, 1004–1020. doi:10.1175/1520-0442(1997)010<1004:ELIV>2.0.CO;2
-
(1997)
Journal of Climate
, vol.10
, pp. 1004-1020
-
-
Zhang, Y.1
Wallace, J.M.2
Battisti, D.S.3
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