-
1
-
-
0032688155
-
River flood forecasting with a neural network model
-
Campolo, M.; Andreussi, P. and Soldati, A. (1999) River flood forecasting with a neural network model, Water Resources Research, V.35, 1191-1197.
-
(1999)
Water Resources Research
, vol.35
, pp. 1191-1197
-
-
Campolo, M.1
Andreussi, P.2
Soldati, A.3
-
2
-
-
0034621379
-
Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
-
DOI 10.1016/S0022-1694(00)00214-6, PII S0022169400002146
-
Coulibaly, P.; Anctil, F. and Bobee, B. (2000) Daily reservoir inflow forecasting artificial neural Networks with stopped training approach. Journal of Hydrology, V.230, 244-257. (Pubitemid 30319494)
-
(2000)
Journal of Hydrology
, vol.230
, Issue.3-4
, pp. 244-257
-
-
Coulibaly, P.1
Anctil, F.2
Bobee, B.3
-
3
-
-
27944503514
-
Generalized regression neural networks in monthly flow forecasting
-
Cigizoglu, H.K. (2005) Generalized regression neural networks in monthly flow forecasting. Civil Engineering and Environmental Systems, V.22 (2), 71-84.
-
(2005)
Civil Engineering and Environmental Systems
, vol.22
, Issue.2
, pp. 71-84
-
-
Cigizoglu, H.K.1
-
4
-
-
12544259920
-
Daily river flow forecasting using artificial neural networks and auto-regressive models
-
Kisi, O. (2005) Daily river flow forecasting using artificial neural networks and auto-regressive models. Turkish Journal of Engineering and Environmental Sciences, V.29,9-20.
-
(2005)
Turkish Journal of Engineering and Environmental Sciences
, vol.29
, pp. 9-20
-
-
Kisi, O.1
-
5
-
-
58149181821
-
Reservoir inflow modeling using temporal neural networks with forgetting factor approach
-
Razavi, S. and Araghinejad, S. (2009) Reservoir Inflow Modeling Using Temporal Neural Networks with Forgetting Factor Approach. Water Resources Management, V.23,39-55.
-
(2009)
Water Resources Management
, vol.23
, pp. 39-55
-
-
Razavi, S.1
Araghinejad, S.2
-
6
-
-
38049027371
-
Performance of neural network models with kalman learning rule for flow routing in a river system
-
Diamantopoulou, M.J., Georgiou, P.E., and Papamichail, D.M., (2007). Performance of neural network models with kalman learning rule for flow routing in a river system. Fresenius Environmental Bulletin, V.16 (1 lb), 1474-1484.
-
(2007)
Fresenius Environmental Bulletin
, vol.16
, Issue.1 LB
, pp. 1474-1484
-
-
Diamantopoulou, M.J.1
Georgiou, P.E.2
Papamichail, D.M.3
-
7
-
-
84859990240
-
Application of levenberg-marquardt optimization algorithm based multilayer neural networks for hydrological time series modeling
-
Okkan, U. (2011). Application of Levenberg-Marquardt Optimization Algorithm Based Multilayer Neural Networks for Hydrological Time Series Modeling, An International Journal of Optimization and Control: Theories & Applications, V.1(1), 53-63.
-
(2011)
An International Journal of Optimization and Control: Theories & Applications
, vol.1
, Issue.1
, pp. 53-63
-
-
Okkan, U.1
-
8
-
-
84856290123
-
Reservoir inflows modeling with artificial neural networks: The case of keiner dam in Turkey
-
Okkan, U. And Dalkilic, H.Y. (2011). Reservoir Inflows Modeling with Artificial Neural Networks: The Case of Keiner Dam in Turkey, Fresenius Environmental Bulletin, V.20 (12), 3110-3319.
-
(2011)
Fresenius Environmental Bulletin
, vol.20
, Issue.12
, pp. 3110-3319
-
-
Okkan, U.1
Dalkilic, H.Y.2
-
9
-
-
23044467858
-
Fuzzy neural network model for hydrologic flow routing
-
DOI 10.1061/(ASCE)1084-0699(2005)10:4(302)
-
Deka, P. and Chandramouli, V. (2005) Fuzzy neural network model for river flow prediction. Journal of Hydrologie Engineering V. 10(4), 302-314. (Pubitemid 41070692)
-
(2005)
Journal of Hydrologic Engineering
, vol.10
, Issue.4
, pp. 302-314
-
-
Deka, P.1
Chandramouli, V.2
-
10
-
-
34249943593
-
River flow estimation using adaptive neuro fuzzy inference system
-
DOI 10.1016/j.matcom.2006.09.003, PII S0378475406002394
-
Firat, M. and Gungor, M. (2007) River flow estimation using adaptive neuro-fuzzy inference system. Mathematics and Computers in Simulation V.75(3-4), 87-96. (Pubitemid 46880072)
-
(2007)
Mathematics and Computers in Simulation
, vol.75
, Issue.3-4
, pp. 87-96
-
-
Firat, M.1
Gungor, M.2
-
11
-
-
69949181687
-
Comparison of fuzzy inference systems for streamflow prediction
-
Ozger, M. (2009) Comparison of fuzzy inference systems for streamflow prediction, Hydrological Sciences Journal, V.54(2), 261-273.
-
(2009)
Hydrological Sciences Journal
, vol.54
, Issue.2
, pp. 261-273
-
-
Ozger, M.1
-
12
-
-
0032804627
-
A genetic programming approach to rainfall-runoff modeling
-
Savic, D. A., Walters, G. A., and Davidson, J. W. (1999). A Genetic Programming Approach to Rainfall-Runoff Modeling, Water Resources Management, V 13, 219-231.
-
(1999)
Water Resources Management
, vol.13
, pp. 219-231
-
-
Savic, D.A.1
Walters, G.A.2
Davidson, J.W.3
-
13
-
-
37849003485
-
Application of genetic programming to streamflow extension
-
Hong Kong
-
Wang. T.S., Chen, L., and Wu, M.M., (2007). Application of Genetic Programming to Streamflow Extension, Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, Hong Kong, 974-977.
-
(2007)
Proceedings of the Sixth International Conference on Machine Learning and Cybernetics
, pp. 974-977
-
-
Wang, T.S.1
Chen, L.2
Wu, M.M.3
-
14
-
-
52149117436
-
A nonlinear time series analysis using two-stage genetic algorithms for streamflow forecasting
-
Chen, CS., Liu C.H., and Su H.C., (2008). A nonlinear time series analysis using two-stage genetic algorithms for streamflow forecasting. Hydrol. Process. V.22, 3697-3711
-
(2008)
Hydrol. Process
, vol.22
, pp. 3697-3711
-
-
Chen, C.S.1
Liu, C.H.2
Su, H.C.3
-
16
-
-
0032638628
-
Least squares support vector machine classifiers
-
Suykens J.A.K., Vandewalle J., (1999). Least squares support vector machine classifiers, Neural Processing Letters, V 9 (3), 293-300.
-
(1999)
Neural Processing Letters
, vol.9
, Issue.3
, pp. 293-300
-
-
Suykens, J.A.K.1
Vandewalle, J.2
-
17
-
-
0037695279
-
-
World Science, Singapore
-
Suykens, J.A.K., Van Gestel, T., De Brabanter, J., De Moor, B., Vandewalle, J., (2002). Least Squares Support Vector Machines. World Science, Singapore.
-
(2002)
Least Squares Support Vector Machines
-
-
Suykens, J.A.K.1
Van Gestel, T.2
De Brabanter, J.3
De Moor, B.4
Vandewalle, J.5
-
18
-
-
0242288903
-
Benchmarking least squares support vector machine classifiers
-
Gestel T.V., Suykens J.A.K., Baesens, B., Viaene, S., Vanthienen, J., Dedene, G., De Moor, B., Vandewalle, J. (2004). Benchmarking least squares support vector machine classifiers. Machine Learning, V.54(1) 5-32.
-
(2004)
Machine Learning
, vol.54
, Issue.1
, pp. 5-32
-
-
Gestel, T.V.1
Suykens, J.A.K.2
Baesens, B.3
Viaene, S.4
Vanthienen, J.5
Dedene, G.6
De Moor, B.7
Vandewalle, J.8
-
19
-
-
0035392694
-
Financial time series prediction using least squares support vector machines within the evidence framework
-
DOI 10.1109/72.935093, PII S1045922701050147
-
Van Gestel T., Suykens J.A.K., Baestaens D., Lambrechts A., Lanckriet G., Vandaele B., De Moor B., Vandewalle J., (2001). Financial Time Series Prediction using Least Squares Support Vector Machines within the Evidence Framework, IEEE Transactions on Neural Networks, Special Issue on Neural Networks in Financial Engineering, V 12(4), 809-821 (Pubitemid 32732822)
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, Issue.4
, pp. 809-821
-
-
Van Gestel, T.1
Suykens, J.A.K.2
Baestaens, D.-E.3
Lambrechts, A.4
Lanckriet, G.5
Vandaele, B.6
De Moor, B.7
Vandewalle, J.8
-
20
-
-
35148828595
-
Electric load forecasting - Using kernel based modeling for nonlinear system identification, IEEE control systems magazine
-
Espinoza M., Suykens J.A.K., Belmans R., De Moor B., (2007). Electric Load Forecasting - Using kernel based modeling for nonlinear system identification, IEEE Control Systems Magazine, Special Issue on Applications of System Identification, V 27 (5), 43-57.
-
(2007)
Special Issue on Applications of System Identification
, vol.27
, Issue.5
, pp. 43-57
-
-
Espinoza, M.1
Suykens, J.A.K.2
Belmans, R.3
De Moor, B.4
-
21
-
-
33746834358
-
Identification of support vector machines for runoff modelling
-
Bray M, Han D. (2004). Identification of support vector machines for runoff modelling. Journal of Hydroinformatics V6, 265-280.
-
(2004)
Journal of Hydroinformatics
, vol.6
, pp. 265-280
-
-
Bray, M.1
Han, D.2
-
22
-
-
84859975292
-
-
29th IAHR Congress, Beijing, China, September 17-21, 2001
-
Han, D., and Yang, Z. (2001). River flow modelling using Support Vector Machines. 29th IAHR Congress, Beijing, China, September 17-21, 2001.
-
(2001)
River Flow Modelling Using Support Vector Machines
-
-
Han, D.1
Yang, Z.2
-
23
-
-
0036202123
-
Flood stage forecasting with support vector machines
-
Liong, S. Y., and Sivapragasam, C. (2002). Flood stage forecasting with support vector machines. Journal of the American Water Resources Association, V.38 (1), 173-186.
-
(2002)
Journal of the American Water Resources Association
, vol.38
, Issue.1
, pp. 173-186
-
-
Liong, S.Y.1
Sivapragasam, C.2
-
24
-
-
1642578192
-
Modelling of river discharges and rainfall using radial basis function networks based on support vector regression
-
Choy K.Y., and Chan, C.W. (2003). Modelling of river discharges and rainfall using radial basis function networks based on support vector regression. International Journal of Systems Science, V.34(1), 763-773.
-
(2003)
International Journal of Systems Science
, vol.34
, Issue.1
, pp. 763-773
-
-
Choy, K.Y.1
Chan, C.W.2
-
25
-
-
77951662436
-
Potential of support vector regression for prediction of monthly streamflow using endogenous property
-
Maity, R., Bhagwat, P.P., and Bhatnagar, A. (2010). Potential of support vector regression for prediction of monthly streamflow using endogenous property, Hydrol. Process. V.24,917-923.
-
(2010)
Hydrol. Process
, vol.24
, pp. 917-923
-
-
Maity, R.1
Bhagwat, P.P.2
Bhatnagar, A.3
-
26
-
-
45449119903
-
Estimation of daily suspended sediments using support vector machines
-
Cimen, M., (2008). Estimation of daily suspended sediments using support vector machines, Hydrological Sciences Journal, V.53(3), 656-666.
-
(2008)
Hydrological Sciences Journal
, vol.53
, Issue.3
, pp. 656-666
-
-
Cimen, M.1
-
27
-
-
70349559015
-
Evapotranspiration modelling using support vector machines
-
Kisi, O. and Cimen, M. (2009). Evapotranspiration modelling using support vector machines, Hydrological Sciences Journal, V54(5), 918-928.
-
(2009)
Hydrological Sciences Journal
, vol.54
, Issue.5
, pp. 918-928
-
-
Kisi, O.1
Cimen, M.2
-
28
-
-
84859998211
-
Application of least square support vector machine (LSSVM) for determination of evaporation losses in reservoirs, scientific research
-
Samui, P. (2011). Application of Least Square Support Vector Machine (LSSVM) for Determination of Evaporation Losses in Reservoirs, Scientific Research, Engineering, V3, 431-434.
-
(2011)
Engineering
, vol.3
, pp. 431-434
-
-
Samui, P.1
-
29
-
-
33750018142
-
Downscaling of precipitation for climate change scenarios: A support vector machine approach
-
DOI 10.1016/j.jhydrol.2006.04.030, PII S0022169406002368
-
Tripathi, S., Srinivas V.V., Nanjundian, R.S., (2006). Downscaling of precipitation for climate change scenarios: a support vector machine approach. Journal of Hydrology, V.330(3-4), 621-640. (Pubitemid 44573197)
-
(2006)
Journal of Hydrology
, vol.330
, Issue.3-4
, pp. 621-640
-
-
Tripathi, S.1
Srinivas, V.V.2
Nanjundiah, R.S.3
-
30
-
-
40949134707
-
Downscaling precipitation to river basin in India for IPCC SRES scenarios using support vector machine
-
DOI 10.1002/joc.1529
-
Anandhi, A., Srinivas, V.V., Nanjundiah, R.S., Nagesh, Kumar D. (2008). Downscaling precipitation to river basin in India for IPCC SRES scenarios using support vector machine. International Journal of Climatology, V.28(3), 401-420. (Pubitemid 351411413)
-
(2008)
International Journal of Climatology
, vol.28
, Issue.3
, pp. 401-420
-
-
Anandhi, A.1
Srinivas, V.V.2
Nanjundiah, R.S.3
Nagesh, K.D.4
-
31
-
-
67649989310
-
Role of predictors in downscaling surface temperature to river basin in India for IPCC SRES scenarios using support vector machine
-
Anandhi, A., Srinivas, V.V., Nagesh, Kumar D., Nanjundiah, R.S., (2009). Role of predictors in downscaling surface temperature to river basin in India for IPCC SRES scenarios using support vector machine, International Journal of Climatology, V.29,583-603.
-
(2009)
International Journal of Climatology
, vol.29
, pp. 583-603
-
-
Anandhi, A.1
Srinivas, V.V.2
Nagesh, K.D.3
Nanjundiah, R.S.4
-
32
-
-
0001500115
-
Functions of positive and negative type and their connection with the theory of integral equations
-
Mercer J. (1909). Functions of positive and negative type and their connection with the theory of integral equations. Philosophical Transactions of the Royal Society, London V209: 415-446.
-
(1909)
Philosophical Transactions of the Royal Society, London
, vol.209
, pp. 415-446
-
-
Mercer, J.1
|