-
1
-
-
0036698601
-
Multi-model data fusion for river flow forecasting: an evaluation of six alternative methods based on two contrasting catchments
-
Abrahart R.J., See L. Multi-model data fusion for river flow forecasting: an evaluation of six alternative methods based on two contrasting catchments. Hydrol. Earth Syst. Sci. 2002, 6(4):655-670.
-
(2002)
Hydrol. Earth Syst. Sci.
, vol.6
, Issue.4
, pp. 655-670
-
-
Abrahart, R.J.1
See, L.2
-
2
-
-
43149114256
-
An application of artificial intelligence for rainfall-runoff modeling
-
Aytek A., Asce M., Alp M. An application of artificial intelligence for rainfall-runoff modeling. J. Earth Syst. Sci. 2008, 117(2):145-155.
-
(2008)
J. Earth Syst. Sci.
, vol.117
, Issue.2
, pp. 145-155
-
-
Aytek, A.1
Asce, M.2
Alp, M.3
-
3
-
-
0002158924
-
Genetic programming as a model induction engine
-
Babovic V., Keijzer M. Genetic programming as a model induction engine. J. Hydroinform. 2000, 2(1):35-60.
-
(2000)
J. Hydroinform.
, vol.2
, Issue.1
, pp. 35-60
-
-
Babovic, V.1
Keijzer, M.2
-
4
-
-
27644570438
-
Rainfall-runoff modeling based on genetic programming
-
Babovic V., Keijzer M. Rainfall-runoff modeling based on genetic programming. Encyclopedia Hydrol. Sci. 2006, 10.1002/0470848944.hsa017.
-
(2006)
Encyclopedia Hydrol. Sci.
-
-
Babovic, V.1
Keijzer, M.2
-
5
-
-
0035340711
-
A counter propagation fuzzy-neural modelling approach to real time streamflow prediction
-
Chang F.J., Chen Y.C. A counter propagation fuzzy-neural modelling approach to real time streamflow prediction. J. Hydrol. 2001, 245:153-164.
-
(2001)
J. Hydrol.
, vol.245
, pp. 153-164
-
-
Chang, F.J.1
Chen, Y.C.2
-
6
-
-
15444365276
-
Fuzzy exemplar-based inference system for flood forecasting
-
Chang L.C., Chang F.J., Tsai Y.H. Fuzzy exemplar-based inference system for flood forecasting. Water Resour. Res. 2005, 41(2):W02005.
-
(2005)
Water Resour. Res.
, vol.41
, Issue.2
-
-
Chang, L.C.1
Chang, F.J.2
Tsai, Y.H.3
-
7
-
-
34249895257
-
Real-time probabilistic forecasting of flood stages
-
Chen S.T., Yu P.S. Real-time probabilistic forecasting of flood stages. J. Hydrol. 2007, 340(1-2):63-77.
-
(2007)
J. Hydrol.
, vol.340
, Issue.1-2
, pp. 63-77
-
-
Chen, S.T.1
Yu, P.S.2
-
8
-
-
77950867287
-
Development and application of a decision group back-propagation neural network for flood forecasting
-
Chen C.S., Chen B.P.T., Chou F.N.F., Yang C.C. Development and application of a decision group back-propagation neural network for flood forecasting. J. Hydrol. 2010, 385(1-4):173-182.
-
(2010)
J. Hydrol.
, vol.385
, Issue.1-4
, pp. 173-182
-
-
Chen, C.S.1
Chen, B.P.T.2
Chou, F.N.F.3
Yang, C.C.4
-
9
-
-
79960464628
-
An improved genetic programming to SSM/I estimation typhoon precipitation over ocean
-
Chen L., Yeh K.C., Wei H.P., Liu G.R. An improved genetic programming to SSM/I estimation typhoon precipitation over ocean. Hydrol. Process. 2011, 25(16):2573-2583.
-
(2011)
Hydrol. Process.
, vol.25
, Issue.16
, pp. 2573-2583
-
-
Chen, L.1
Yeh, K.C.2
Wei, H.P.3
Liu, G.R.4
-
10
-
-
65949120718
-
Developing a hybrid multi-model for peak flood forecasting
-
Chidthong Y., Tanaka H., Supharatid S. Developing a hybrid multi-model for peak flood forecasting. Hydrol. Process. 2009, 23:1725-1738.
-
(2009)
Hydrol. Process.
, vol.23
, pp. 1725-1738
-
-
Chidthong, Y.1
Tanaka, H.2
Supharatid, S.3
-
13
-
-
26844561465
-
River flow modelling using fuzzy decision trees
-
Han D., Cluckie I.D., Karbassioun D., Lawry J., Krauskopf B. River flow modelling using fuzzy decision trees. Water Resour. Manage 2002, 16(6):431-445.
-
(2002)
Water Resour. Manage
, vol.16
, Issue.6
, pp. 431-445
-
-
Han, D.1
Cluckie, I.D.2
Karbassioun, D.3
Lawry, J.4
Krauskopf, B.5
-
14
-
-
17044442585
-
Development of a fuzzy logic-based rainfall-runoff model
-
Hundecha Y., Bárdossy A., Theisen H.W. Development of a fuzzy logic-based rainfall-runoff model. Hydrol. Sci. J. 2001, 46(3):363-376.
-
(2001)
Hydrol. Sci. J.
, vol.46
, Issue.3
, pp. 363-376
-
-
Hundecha, Y.1
Bárdossy, A.2
Theisen, H.W.3
-
15
-
-
68949105694
-
Review of the application of fuzzy inference systems in river flow forecasting
-
Jacquin A.P., Shamseldin A.Y. Review of the application of fuzzy inference systems in river flow forecasting. J. Hydroinform. 2009, 11(3-4):202-210.
-
(2009)
J. Hydroinform.
, vol.11
, Issue.3-4
, pp. 202-210
-
-
Jacquin, A.P.1
Shamseldin, A.Y.2
-
16
-
-
0342936331
-
Genetic programming and its application in real-time runoff forecasting
-
Khu S.T., Liong S.Y., Babovic V., Madsen H., Muttil N. Genetic programming and its application in real-time runoff forecasting. J. Am. Water Resour. Assoc. 2001, 37(2):439-451.
-
(2001)
J. Am. Water Resour. Assoc.
, vol.37
, Issue.2
, pp. 439-451
-
-
Khu, S.T.1
Liong, S.Y.2
Babovic, V.3
Madsen, H.4
Muttil, N.5
-
17
-
-
0003471143
-
-
Prentice Hall, Englewood Cliffs, New Jersey, USA
-
Klir G.J., Yuan B. Fuzzy Sets and Fuzzy Logic: Theory and Applications 1995, Prentice Hall, Englewood Cliffs, New Jersey, USA.
-
(1995)
Fuzzy Sets and Fuzzy Logic: Theory and Applications
-
-
Klir, G.J.1
Yuan, B.2
-
19
-
-
84861208736
-
Hydrological time series modeling: a comparison between adaptive neuro-fuzzy, neural network and autoregressive techniques
-
Lohani A.K., Kumar R., Singh R.D. Hydrological time series modeling: a comparison between adaptive neuro-fuzzy, neural network and autoregressive techniques. J. Hydrol. 2012, 442:23-35.
-
(2012)
J. Hydrol.
, vol.442
, pp. 23-35
-
-
Lohani, A.K.1
Kumar, R.2
Singh, R.D.3
-
20
-
-
0346687459
-
Application of fuzzy logic to forecast seasonal runoff
-
Mahabir C., Hicks F.E., Fayek A.R. Application of fuzzy logic to forecast seasonal runoff. Hydrol. Process. 2003, 17:3749-3762.
-
(2003)
Hydrol. Process.
, vol.17
, pp. 3749-3762
-
-
Mahabir, C.1
Hicks, F.E.2
Fayek, A.R.3
-
21
-
-
1942490118
-
A neuro-fuzzy computing technique for modeling hydrological time series
-
Nayak P.C., Sudheer K.P., Rangan D.M., Ramasastri K.S. A neuro-fuzzy computing technique for modeling hydrological time series. J. Hydrol. 2004, 291:52-66.
-
(2004)
J. Hydrol.
, vol.291
, pp. 52-66
-
-
Nayak, P.C.1
Sudheer, K.P.2
Rangan, D.M.3
Ramasastri, K.S.4
-
22
-
-
69949181687
-
Comparison of fuzzy inference systems for streamflow prediction
-
Ozger M. Comparison of fuzzy inference systems for streamflow prediction. Hydrol. Sci. J. 2009, 54(2):261-273.
-
(2009)
Hydrol. Sci. J.
, vol.54
, Issue.2
, pp. 261-273
-
-
Ozger, M.1
-
23
-
-
84865043805
-
Rainfall-runoff modelling using genetic programming
-
Rodriguez-Vazquez K., Arganis-Juarez M.L., Cruickshank-Villanueva C., Dominguez-Mora R. Rainfall-runoff modelling using genetic programming. J. Hydroinform. 2012, 14(1):108-121.
-
(2012)
J. Hydroinform.
, vol.14
, Issue.1
, pp. 108-121
-
-
Rodriguez-Vazquez, K.1
Arganis-Juarez, M.L.2
Cruickshank-Villanueva, C.3
Dominguez-Mora, R.4
-
24
-
-
0033381989
-
Applying soft computing approaches to river level forecasting
-
See L., Openshaw S. Applying soft computing approaches to river level forecasting. Hydrol. Sci. J. 1999, 44(5):763-778.
-
(1999)
Hydrol. Sci. J.
, vol.44
, Issue.5
, pp. 763-778
-
-
See, L.1
Openshaw, S.2
-
25
-
-
0034254025
-
A hybrid multi-model approach to river level forecasting
-
See L., Openshaw S. A hybrid multi-model approach to river level forecasting. Hydrol. Sci. J. 2000, 45(4):523-536.
-
(2000)
Hydrol. Sci. J.
, vol.45
, Issue.4
, pp. 523-536
-
-
See, L.1
Openshaw, S.2
-
26
-
-
40049084636
-
Genetic programming approach for flood routing in natural channels
-
Sivapragasam C., Maheswaran R., Venkatesh V. Genetic programming approach for flood routing in natural channels. Hydrol. Process. 2008, 22(5):623-628.
-
(2008)
Hydrol. Process.
, vol.22
, Issue.5
, pp. 623-628
-
-
Sivapragasam, C.1
Maheswaran, R.2
Venkatesh, V.3
-
27
-
-
45449126257
-
Structure identification of fuzzy model
-
Sugeno M., Kang G.T. Structure identification of fuzzy model. Fuzzy Sets Syst. 1988, 28(1):15-33.
-
(1988)
Fuzzy Sets Syst.
, vol.28
, Issue.1
, pp. 15-33
-
-
Sugeno, M.1
Kang, G.T.2
-
28
-
-
0021892282
-
Fuzzy identification of systems and its application to modeling and control
-
SMC-15(1)
-
Takagi T., Sugeno M. Fuzzy identification of systems and its application to modeling and control. IEEE Transactions on Systems, Man, and Cybernetics 1985, SMC-15(1):116-132.
-
(1985)
IEEE Transactions on Systems, Man, and Cybernetics
, pp. 116-132
-
-
Takagi, T.1
Sugeno, M.2
-
29
-
-
0035105632
-
Modelling rainfall-runoff relationships using genetic programming
-
Whigham P.A., Crapper P.F. Modelling rainfall-runoff relationships using genetic programming. Math. Comput. Model. 2001, 33(6-7):707-721.
-
(2001)
Math. Comput. Model.
, vol.33
, Issue.6-7
, pp. 707-721
-
-
Whigham, P.A.1
Crapper, P.F.2
-
30
-
-
0035340544
-
A non-linear combination of the forecasts of rainfall-runoff models by the first-order Takagi-Sugeno fuzzy system
-
Xiong L., Shamseldin A.Y., O'Connor K.M. A non-linear combination of the forecasts of rainfall-runoff models by the first-order Takagi-Sugeno fuzzy system. J. Hydrol. 2001, 245:196-217.
-
(2001)
J. Hydrol.
, vol.245
, pp. 196-217
-
-
Xiong, L.1
Shamseldin, A.Y.2
O'Connor, K.M.3
-
31
-
-
17444408911
-
Updating real-time flood forecasting using a fuzzy rule-based model
-
Yu P.S., Chen S.T. Updating real-time flood forecasting using a fuzzy rule-based model. Hydrol. Sci. J. 2005, 50(2):265-278.
-
(2005)
Hydrol. Sci. J.
, vol.50
, Issue.2
, pp. 265-278
-
-
Yu, P.S.1
Chen, S.T.2
-
32
-
-
33746916489
-
Support vector regression for real-time flood stage forecasting
-
Yu P.S., Chen S.T., Chang I.F. Support vector regression for real-time flood stage forecasting. J. Hydrol. 2006, 328(3-4):704-716.
-
(2006)
J. Hydrol.
, vol.328
, Issue.3-4
, pp. 704-716
-
-
Yu, P.S.1
Chen, S.T.2
Chang, I.F.3
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