-
1
-
-
84889646990
-
Input selection and optimisation for monthly rainfall forecasting in Queensland, Australia, using artificial neural networks
-
Abbot J, Marohasy J (2014) Input selection and optimisation for monthly rainfall forecasting in Queensland, Australia, using artificial neural networks. Atmos Res 138:166–178
-
(2014)
Atmos Res
, vol.138
, pp. 166-178
-
-
Abbot, J.1
Marohasy, J.2
-
2
-
-
77956838672
-
Comparison of multivariate regression and artificial neural networks for peak urban water-demand forecasting: evaluation of different ANN learning algorithms
-
Adamowski J, Karapataki C (2010) Comparison of multivariate regression and artificial neural networks for peak urban water-demand forecasting: evaluation of different ANN learning algorithms. J Hydrol Eng 15:729–743
-
(2010)
J Hydrol Eng
, vol.15
, pp. 729-743
-
-
Adamowski, J.1
Karapataki, C.2
-
3
-
-
84856246099
-
Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada
-
Adamowski J, Fung Chan H, Prasher SO, Ozga-Zielinski B, Sliusarieva A (2012) Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada. Water Resour Res 48(1). doi:10.1029/2010WR009945
-
(2012)
Water Resour Res
, vol.48
, Issue.1
-
-
Adamowski, J.1
Fung Chan, H.2
Prasher, S.O.3
Ozga-Zielinski, B.4
Sliusarieva, A.5
-
4
-
-
84925489228
-
ANN based sediment prediction model utilizing different input scenarios
-
Afan HA et al (2015) ANN based sediment prediction model utilizing different input scenarios. Water Resour Manag 29:1231–1245
-
(2015)
Water Resour Manag
, vol.29
, pp. 1231-1245
-
-
Afan, H.A.1
-
5
-
-
84870687035
-
Prediction of significant wave height using geno-multilayer perceptron
-
Altunkaynak A (2013) Prediction of significant wave height using geno-multilayer perceptron. Ocean Eng 58:144–153
-
(2013)
Ocean Eng
, vol.58
, pp. 144-153
-
-
Altunkaynak, A.1
-
6
-
-
35448986493
-
Fuzzy logic model of lake water level fluctuations in Lake Van, Turkey
-
Altunkaynak A, Şen Z (2007) Fuzzy logic model of lake water level fluctuations in Lake Van, Turkey. Theor Appl Climatol 90:227–233
-
(2007)
Theor Appl Climatol
, vol.90
, pp. 227-233
-
-
Altunkaynak, A.1
Şen, Z.2
-
8
-
-
0027594152
-
Criteria for evaluation of watershed models
-
ASCE (1993) Criteria for evaluation of watershed models. J Irrig Drain Eng 119:429–442
-
(1993)
J Irrig Drain Eng
, vol.119
, pp. 429-442
-
-
-
9
-
-
85027939411
-
Estimation of the change in lake water level by artificial intelligence methods
-
Buyukyildiz M, Tezel G, Yilmaz V (2014) Estimation of the change in lake water level by artificial intelligence methods. Water Resour Manag 28:4747–4763
-
(2014)
Water Resour Manag
, vol.28
, pp. 4747-4763
-
-
Buyukyildiz, M.1
Tezel, G.2
Yilmaz, V.3
-
10
-
-
84893812050
-
A support vector machine-firefly algorithm based forecasting model to determine malaria transmission
-
Ch S et al (2014) A support vector machine-firefly algorithm based forecasting model to determine malaria transmission. Neurocomputing 129:279–288
-
(2014)
Neurocomputing
, vol.129
, pp. 279-288
-
-
Ch, S.1
-
11
-
-
84903642315
-
Root mean square error (RMSE) or mean absolute error (MAE)?–Arguments against avoiding RMSE in the literature
-
Chai T, Draxler RR (2014) Root mean square error (RMSE) or mean absolute error (MAE)?–Arguments against avoiding RMSE in the literature. Geosci Model Dev 7:1247–1250
-
(2014)
Geosci Model Dev
, vol.7
, pp. 1247-1250
-
-
Chai, T.1
Draxler, R.R.2
-
12
-
-
0032579575
-
El Nino/Southern Oscillation and Australian rainfall, streamflow and drought: links and potential for forecasting
-
Chiew FH, Piechota TC, Dracup JA, McMahon TA (1998) El Nino/Southern Oscillation and Australian rainfall, streamflow and drought: links and potential for forecasting. J Hydrol 204:138–149
-
(1998)
J Hydrol
, vol.204
, pp. 138-149
-
-
Chiew, F.H.1
Piechota, T.C.2
Dracup, J.A.3
McMahon, T.A.4
-
13
-
-
70350511636
-
Comparison of two different data-driven techniques in modeling lake level fluctuations in Turkey
-
Çimen M, Kisi O (2009) Comparison of two different data-driven techniques in modeling lake level fluctuations in Turkey. J Hydrol 378:253–262
-
(2009)
J Hydrol
, vol.378
, pp. 253-262
-
-
Çimen, M.1
Kisi, O.2
-
14
-
-
33846798345
-
HydroTest: a web-based toolbox of evaluation metrics for the standardised assessment of hydrological forecasts
-
Dawson CW, Abrahart RJ, See LM (2007) HydroTest: a web-based toolbox of evaluation metrics for the standardised assessment of hydrological forecasts. Environ Model Softw 22:1034–1052
-
(2007)
Environ Model Softw
, vol.22
, pp. 1034-1052
-
-
Dawson, C.W.1
Abrahart, R.J.2
See, L.M.3
-
15
-
-
84872616871
-
Chaos and reproduction in sea level
-
De Domenico M, Ghorbani MA, Makarynskyy O, Makarynska D, Asadi H (2013) Chaos and reproduction in sea level. Appl Math Model 37:3687–3697
-
(2013)
Appl Math Model
, vol.37
, pp. 3687-3697
-
-
De Domenico, M.1
Ghorbani, M.A.2
Makarynskyy, O.3
Makarynska, D.4
Asadi, H.5
-
16
-
-
84928136722
-
Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological parameters and climate indices in eastern Australia
-
Deo RC, Şahin M (2015a) Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological parameters and climate indices in eastern Australia. Atmos Res 161–162:65–81
-
(2015)
Atmos Res
, vol.161-162
, pp. 65-81
-
-
Deo, R.C.1
Şahin, M.2
-
17
-
-
84908611342
-
Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia
-
Deo RC, Şahin M (2015b) Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia. Atmos Res 153:512–525
-
(2015)
Atmos Res
, vol.153
, pp. 512-525
-
-
Deo, R.C.1
Şahin, M.2
-
18
-
-
84954310363
-
An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland
-
Deo RC, Şahin M (2016) An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland. Environ Monit Assess. doi:10.1007/s10661-016-5094-9
-
(2016)
Environ Monit Assess
-
-
Deo, R.C.1
Şahin, M.2
-
19
-
-
84994060685
-
Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model
-
Deo RC, Kisi O, Singh VP (2017a) Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model. Atmos Res 184:149–175
-
(2017)
Atmos Res
, vol.184
, pp. 149-175
-
-
Deo, R.C.1
Kisi, O.2
Singh, V.P.3
-
20
-
-
85030656566
-
Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data
-
(in press)
-
Deo RC et al (2017b) Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data. Renew Energy. doi:10.1016/j.renene.2017.09.078 (in press)
-
(2017)
Renew Energy
-
-
Deo, R.C.1
-
21
-
-
84969872411
-
Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model
-
Deo RC, Tiwari MK, Adamowski JF, Quilty MJ (2017c) Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model. Stoch Environ Res Risk Assess 31(5):1211–1240
-
(2017)
Stoch Environ Res Risk Assess
, vol.31
, Issue.5
, pp. 1211-1240
-
-
Deo, R.C.1
Tiwari, M.K.2
Adamowski, J.F.3
Quilty, M.J.4
-
22
-
-
84958691710
-
Firefly optimization algorithm for feature selection
-
Emary E, Zawbaa HM, Ghany KKA, Hassanien AE, Parv B (2015) Firefly optimization algorithm for feature selection. In: Proceedings of the 7th Balkan conference on informatics conference. ACM, p 26
-
(2015)
Proceedings of the 7Th Balkan Conference on Informatics Conference. ACM
, pp. 26
-
-
Emary, E.1
Zawbaa, H.M.2
Ghany, K.K.A.3
Hassanien, A.E.4
Parv, B.5
-
23
-
-
84957593712
-
Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review
-
Fahimi F, Yaseen ZM, El-shafie A (2017) Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review. Theor Appl Climatol 128:875–903
-
(2017)
Theor Appl Climatol
, vol.128
, pp. 875-903
-
-
Fahimi, F.1
Yaseen, Z.M.2
El-shafie, A.3
-
24
-
-
84934758341
-
Optimization of soil water characteristic curves parameters by modified firefly algorithm
-
Fu Q, Jiang R, Wang Z, Li T (2015) Optimization of soil water characteristic curves parameters by modified firefly algorithm. Trans Chin Soc Agric Eng 31:117–122
-
(2015)
Trans Chin Soc Agric Eng
, vol.31
, pp. 117-122
-
-
Fu, Q.1
Jiang, R.2
Wang, Z.3
Li, T.4
-
25
-
-
84880684699
-
Tree-based iterative input variable selection for hydrological modeling
-
Galelli S, Castelletti A (2013) Tree-based iterative input variable selection for hydrological modeling. Water Resour Res 49:4295–4310
-
(2013)
Water Resour Res
, vol.49
, pp. 4295-4310
-
-
Galelli, S.1
Castelletti, A.2
-
26
-
-
84982299870
-
Modified firefly algorithm for solving multireservoir operation in continuous and discrete domains
-
Garousi-Nejad I, Bozorg-Haddad O, Loáiciga HA (2016) Modified firefly algorithm for solving multireservoir operation in continuous and discrete domains. J Water Resour Plan Manag 142:04016029
-
(2016)
J Water Resour Plan Manag
, vol.142
, pp. 04016029
-
-
Garousi-Nejad, I.1
Bozorg-Haddad, O.2
Loáiciga, H.A.3
-
27
-
-
84884589096
-
Relative importance of parameters affecting wind speed prediction using artificial neural networks
-
Ghorbani M, Khatibi R, Hosseini B, Bilgili M (2013) Relative importance of parameters affecting wind speed prediction using artificial neural networks. Theor Appl Climatol 114:107–114
-
(2013)
Theor Appl Climatol
, vol.114
, pp. 107-114
-
-
Ghorbani, M.1
Khatibi, R.2
Hosseini, B.3
Bilgili, M.4
-
28
-
-
85027831982
-
Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran
-
(in press)
-
Ghorbani MA, Deo RC, Yaseen ZMK, Mahasa H, Mohammad B (2017a) Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran. Theor Appl Climatol. doi:10.1007/s00704-017-2244-0 (in press)
-
(2017)
Theor Appl Climatol
-
-
Ghorbani, M.A.1
Deo, R.C.2
Yaseen, Z.M.K.3
Mahasa, H.4
Mohammad, B.5
-
29
-
-
85019152630
-
Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point
-
Ghorbani MA et al (2017b) Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point. Soil Tillage Res 172:32–38
-
(2017)
Soil Tillage Res
, vol.172
, pp. 32-38
-
-
Ghorbani, M.A.1
-
30
-
-
78751576467
-
Comparison of recurrent neural network, adaptive neuro-fuzzy inference system and stochastic models in Eğirdir Lake level forecasting
-
Güldal V, Tongal H (2010) Comparison of recurrent neural network, adaptive neuro-fuzzy inference system and stochastic models in Eğirdir Lake level forecasting. Water Resour Manag 24:105–128
-
(2010)
Water Resour Manag
, vol.24
, pp. 105-128
-
-
Güldal, V.1
Tongal, H.2
-
31
-
-
84880605994
-
Approximation of modified Anderson-Darling test statistics for extreme value distributions with unknown shape parameter
-
Heo J-H, Shin H, Nam W, Jeong C (2013) Approximation of modified Anderson-Darling test statistics for extreme value distributions with unknown shape parameter. J Hydrol 499:41–49
-
(2013)
J Hydrol
, vol.499
, pp. 41-49
-
-
Heo, J.-H.1
Shin, H.2
Nam, W.3
Jeong, C.4
-
32
-
-
84880039776
-
Daily forecasting of dam water levels: comparing a support vector machine (SVM) model with adaptive neuro fuzzy inference system (ANFIS) Water
-
Hipni A et al (2013) Daily forecasting of dam water levels: comparing a support vector machine (SVM) model with adaptive neuro fuzzy inference system (ANFIS) Water. Resour Manag 27:3803–3823
-
(2013)
Resour Manag
, vol.27
, pp. 3803-3823
-
-
Hipni, A.1
-
34
-
-
84883792756
-
Prediction of Urmia Lake water-level fluctuations by using analytical, linear statistic and intelligent methods
-
Kakahaji H, Banadaki HD, Kakahaji A, Kakahaji A (2013) Prediction of Urmia Lake water-level fluctuations by using analytical, linear statistic and intelligent methods. Water Resour Manag 27:4469–4492
-
(2013)
Water Resour Manag
, vol.27
, pp. 4469-4492
-
-
Kakahaji, H.1
Banadaki, H.D.2
Kakahaji, A.3
Kakahaji, A.4
-
35
-
-
84899800725
-
A new hybrid modified firefly algorithm and support vector regression model for accurate short term load forecasting
-
Kavousi-Fard A, Samet H, Marzbani F (2014) A new hybrid modified firefly algorithm and support vector regression model for accurate short term load forecasting. Expert Syst Appl 41:6047–6056
-
(2014)
Expert Syst Appl
, vol.41
, pp. 6047-6056
-
-
Kavousi-Fard, A.1
Samet, H.2
Marzbani, F.3
-
37
-
-
84937764496
-
A modified firefly algorithm for engineering design optimization problems
-
Kazemzadeh-Parsi M (2014) A modified firefly algorithm for engineering design optimization problems. Iran J Sci Technol 38:403–421
-
(2014)
Iran J Sci Technol
, vol.38
, pp. 403-421
-
-
Kazemzadeh-Parsi, M.1
-
38
-
-
79956352538
-
Comparison of three artificial intelligence techniques for discharge routing
-
Khatibi R, Ghorbani MA, Kashani MH, Kisi O (2011) Comparison of three artificial intelligence techniques for discharge routing. J Hydrol 403:201–212
-
(2011)
J Hydrol
, vol.403
, pp. 201-212
-
-
Khatibi, R.1
Ghorbani, M.A.2
Kashani, M.H.3
Kisi, O.4
-
39
-
-
84897661948
-
Inter-comparison of time series models of lake levels predicted by several modeling strategies
-
Khatibi R et al (2014) Inter-comparison of time series models of lake levels predicted by several modeling strategies. J Hydrol 511:530–545
-
(2014)
J Hydrol
, vol.511
, pp. 530-545
-
-
Khatibi, R.1
-
40
-
-
61749102355
-
Daily pan evaporation modelling using multi-layer perceptrons and radial basis neural networks
-
Kişi Ö (2009a) Daily pan evaporation modelling using multi-layer perceptrons and radial basis neural networks. Hydrol Process 23:213–223
-
(2009)
Hydrol Process
, vol.23
, pp. 213-223
-
-
Kişi, Ö.1
-
41
-
-
67650333111
-
Neural network and wavelet conjunction model for modelling monthly level fluctuations in Turkey
-
Kişi Ö (2009b) Neural network and wavelet conjunction model for modelling monthly level fluctuations in Turkey. Hydrol Process 23:2081–2092
-
(2009)
Hydrol Process
, vol.23
, pp. 2081-2092
-
-
Kişi, Ö.1
-
42
-
-
33748913014
-
Comparison of different efficiency criteria for hydrological model assessment
-
Krause P, Boyle D, Bäse F (2005) Comparison of different efficiency criteria for hydrological model assessment. Adv Geosci 5:89–97
-
(2005)
Adv Geosci
, vol.5
, pp. 89-97
-
-
Krause, P.1
Boyle, D.2
Bäse, F.3
-
43
-
-
84910651885
-
Mutual information-based multi-label feature selection using interaction information
-
Lee J, Kim D-W (2015) Mutual information-based multi-label feature selection using interaction information. Expert Syst Appl 42:2013–2025
-
(2015)
Expert Syst Appl
, vol.42
, pp. 2013-2025
-
-
Lee, J.1
Kim, D.-W.2
-
44
-
-
0032920124
-
Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation
-
Legates DR, McCabe GJ (1999) Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation. Water Resour Res 35:233–241
-
(1999)
Water Resour Res
, vol.35
, pp. 233-241
-
-
Legates, D.R.1
McCabe, G.J.2
-
48
-
-
51249194645
-
A logical calculus of the ideas immanent in nervous activity
-
McCulloch WS, Pitts W (1943) A logical calculus of the ideas immanent in nervous activity. Bull Math Biophys 5:115–133
-
(1943)
Bull Math Biophys
, vol.5
, pp. 115-133
-
-
McCulloch, W.S.1
Pitts, W.2
-
49
-
-
79955881885
-
Drought modeling–a review
-
Mishra AK, Singh VP (2011) Drought modeling–a review. J Hydrol 403:157–175
-
(2011)
J Hydrol
, vol.403
, pp. 157-175
-
-
Mishra, A.K.1
Singh, V.P.2
-
51
-
-
0014776873
-
River flow forecasting through conceptual models part I—a discussion of principles
-
Nash J, Sutcliffe J (1970) River flow forecasting through conceptual models part I—a discussion of principles. J Hydrol 10:282–290
-
(1970)
J Hydrol
, vol.10
, pp. 282-290
-
-
Nash, J.1
Sutcliffe, J.2
-
52
-
-
84925988131
-
A support vector machine–firefly algorithm-based model for global solar radiation prediction
-
Olatomiwa L et al (2015) A support vector machine–firefly algorithm-based model for global solar radiation prediction. Sol Energy 115:632–644
-
(2015)
Sol Energy
, vol.115
, pp. 632-644
-
-
Olatomiwa, L.1
-
53
-
-
85021292297
-
Input selection and performance optimization of ANN-based streamflow forecasting in a drought-prone Murray Darling Basin with IIS and MODWT
-
Prasad R, Deo RC, Li Y, Maraseni T (2017) Input selection and performance optimization of ANN-based streamflow forecasting in a drought-prone Murray Darling Basin with IIS and MODWT. Atmos Res 197:42–63
-
(2017)
Atmos Res
, vol.197
, pp. 42-63
-
-
Prasad, R.1
Deo, R.C.2
Li, Y.3
Maraseni, T.4
-
54
-
-
84979491168
-
Bootstrap rank-ordered conditional mutual information (broCMI)—a nonlinear input variable selection method for water resources modeling
-
Quilty J, Adamowski J, Khalil B, Rathinasamy M (2016) Bootstrap rank-ordered conditional mutual information (broCMI)—a nonlinear input variable selection method for water resources modeling. Water Resour Res. doi:10.1002/2015WR016959
-
(2016)
Water Resour Res
-
-
Quilty, J.1
Adamowski, J.2
Khalil, B.3
Rathinasamy, M.4
-
55
-
-
85026261765
-
Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River
-
Raheli B, Aalami MT, El-Shafie A, Ghorbani MA, Deo RC (2017) Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River. Environ Earth Sci 76:503
-
(2017)
Environ Earth Sci
, vol.76
, pp. 503
-
-
Raheli, B.1
Aalami, M.T.2
El-Shafie, A.3
Ghorbani, M.A.4
Deo, R.C.5
-
56
-
-
79960810686
-
Hybrid particle swarm and neural network approach for streamflow forecasting
-
Sedki A, Ouazar D (2010) Hybrid particle swarm and neural network approach for streamflow forecasting. Math Model Nat Phenom 5:132–138
-
(2010)
Math Model Nat Phenom
, vol.5
, pp. 132-138
-
-
Sedki, A.1
Ouazar, D.2
-
57
-
-
84855825466
-
Comparison of soil and water assessment tool (SWAT) and multilayer perceptron (MLP) artificial neural network for predicting sediment yield in the Nagwa agricultural watershed in Jharkhand, India
-
Singh A, Imtiyaz M, Isaac R, Denis D (2012) Comparison of soil and water assessment tool (SWAT) and multilayer perceptron (MLP) artificial neural network for predicting sediment yield in the Nagwa agricultural watershed in Jharkhand, India. Agric Water Manag 104:113–120
-
(2012)
Agric Water Manag
, vol.104
, pp. 113-120
-
-
Singh, A.1
Imtiyaz, M.2
Isaac, R.3
Denis, D.4
-
58
-
-
84966632250
-
A novel method to water level prediction using RBF and FFA
-
Soleymani SA et al (2016) A novel method to water level prediction using RBF and FFA. Water Resour Manag 30:3265–3283
-
(2016)
Water Resour Manag
, vol.30
, pp. 3265-3283
-
-
Soleymani, S.A.1
-
59
-
-
77953692036
-
Estimation of daily pan evaporation using artificial neural network and multivariate non-linear regression
-
Tabari H, Marofi S, Sabziparvar A-A (2010) Estimation of daily pan evaporation using artificial neural network and multivariate non-linear regression. Irrig Sci 28:399–406
-
(2010)
Irrig Sci
, vol.28
, pp. 399-406
-
-
Tabari, H.1
Marofi, S.2
Sabziparvar, A.-A.3
-
61
-
-
0034962651
-
Summarizing multiple aspects of model performance in a single diagram
-
Taylor KE (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res Atmos 106:7183–7192
-
(2001)
J Geophys Res Atmos
, vol.106
, pp. 7183-7192
-
-
Taylor, K.E.1
-
62
-
-
84885070735
-
Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models
-
Tiwari MK, Adamowski J (2013) Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models. Water Resour Res 49:6486–6507
-
(2013)
Water Resour Res
, vol.49
, pp. 6486-6507
-
-
Tiwari, M.K.1
Adamowski, J.2
-
63
-
-
84982262059
-
Prediction of water level using monthly lagged data in Lake Urmia, Iran
-
Vaheddoost B, Aksoy H, Abghari H (2016) Prediction of water level using monthly lagged data in Lake Urmia, Iran. Water Resour Manag 30:4951–4967
-
(2016)
Water Resour Manag
, vol.30
, pp. 4951-4967
-
-
Vaheddoost, B.1
Aksoy, H.2
Abghari, H.3
-
64
-
-
39149141586
-
SSA, PCA, TDPSC, ACFA: useful combination of methods for analysis of short and nonstationary time series
-
Vitanov NK, Sakai K, Dimitrova ZI (2008) SSA, PCA, TDPSC, ACFA: useful combination of methods for analysis of short and nonstationary time series. Chaos Solitons Fractals 37:187–202
-
(2008)
Chaos Solitons Fractals
, vol.37
, pp. 187-202
-
-
Vitanov, N.K.1
Sakai, K.2
Dimitrova, Z.I.3
-
65
-
-
79951800404
-
A hybrid neural network model for cyanobacteria bloom in Dianchi Lake
-
Wang Z, Huang K, Zhou P, Guo H (2010) A hybrid neural network model for cyanobacteria bloom in Dianchi Lake. Procedia Environ Sci 2:67–75
-
(2010)
Procedia Environ Sci
, vol.2
, pp. 67-75
-
-
Wang, Z.1
Huang, K.2
Zhou, P.3
Guo, H.4
-
66
-
-
85037042999
-
Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin
-
Wen X, Feng Q, Deo RC, Wu M, Si J (2016) Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China. Hydrol Res 48(5). doi:10.2166/nh.2016.2396
-
(2016)
Northwestern China. Hydrol Res
, vol.48
, Issue.5
-
-
Wen, X.1
Feng, Q.2
Deo, R.C.3
Wu, M.4
Si, J.5
-
67
-
-
0019707668
-
On the validation of models
-
Willmott CJ (1981) On the validation of models. Phys Geogr 2:184–194
-
(1981)
Phys Geogr
, vol.2
, pp. 184-194
-
-
Willmott, C.J.1
-
68
-
-
0020386641
-
Some comments on the evaluation of model performance
-
Willmott CJ (1982) Some comments on the evaluation of model performance. Bull Am Meteorol Soc 63:1309–1313
-
(1982)
Bull Am Meteorol Soc
, vol.63
, pp. 1309-1313
-
-
Willmott, C.J.1
-
69
-
-
79953855364
-
Firefly algorithm, stochastic test functions and design optimisation
-
Yang X-S (2010a) Firefly algorithm, stochastic test functions and design optimisation. Int J Bio-Inspired Comput 2:78–84
-
(2010)
Int J Bio-Inspired Comput
, vol.2
, pp. 78-84
-
-
Yang, X.-S.1
-
71
-
-
58849094959
-
Modelling level change in lakes using neuro-fuzzy and artificial neural networks
-
Yarar A, Onucyıldız M, Copty NK (2009) Modelling level change in lakes using neuro-fuzzy and artificial neural networks. J Hydrol 365:329–334
-
(2009)
J Hydrol
, vol.365
, pp. 329-334
-
-
Yarar, A.1
Onucyıldız, M.2
Copty, N.K.3
-
72
-
-
84994591754
-
Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq
-
Yaseen ZM, Jaafar O, Deo RC, Kisi O, Adamowski J, Quilty J, El-Shafie A (2016) Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq. J Hydrol 542:603–614
-
(2016)
J Hydrol
, vol.542
, pp. 603-614
-
-
Yaseen, Z.M.1
Jaafar, O.2
Deo, R.C.3
Kisi, O.4
Adamowski, J.5
Quilty, J.6
El-Shafie, A.7
-
73
-
-
85029529514
-
Rainfall pattern forecasting using novel hybrid intelligent model based ANFIS-FFA
-
Yaseen ZM, Ghareb MI, Ebtehaj I, Bonakdari H, Siddique H, Heddam S, Yusif AA, Deo RC (2017) Rainfall pattern forecasting using novel hybrid intelligent model based ANFIS-FFA. Water Resour Manag. doi:10.1007/s11269-017-1797-0
-
(2017)
Water Resour Manag
-
-
Yaseen, Z.M.1
Ghareb, M.I.2
Ebtehaj, I.3
Bonakdari, H.4
Siddique, H.5
Heddam, S.6
Yusif, A.A.7
Deo, R.C.8
-
74
-
-
77955735474
-
Daily outflow prediction by multi layer perceptron with logistic sigmoid and tangent sigmoid activation functions
-
Zadeh MR, Amin S, Khalili D, Singh VP (2010) Daily outflow prediction by multi layer perceptron with logistic sigmoid and tangent sigmoid activation functions. Water Resour Manag 24:2673–2688
-
(2010)
Water Resour Manag
, vol.24
, pp. 2673-2688
-
-
Zadeh, M.R.1
Amin, S.2
Khalili, D.3
Singh, V.P.4
|