-
1
-
-
84865725890
-
Wave height prediction using the rough set theory
-
Abed-Elmdoust A, Kerachian R (2012) Wave height prediction using the rough set theory. Ocean Eng 54:244-250
-
(2012)
Ocean Eng.
, vol.54
, pp. 244-250
-
-
Abed-Elmdoust, A.1
Kerachian, R.2
-
2
-
-
84937002395
-
A hybrid genetic algorithm—extreme learning machine approach for accurate significant wave height reconstruction
-
Alexandre E, Cuadra L, Nieto-Borge J, Candil-García G, del Pino M, Salcedo-Sanz S (2015) A hybrid genetic algorithm—extreme learning machine approach for accurate significant wave height reconstruction. Ocean Model 92:115-123
-
(2015)
Ocean Model
, vol.92
, pp. 115-123
-
-
Alexandre, E.1
Cuadra, L.2
Nieto-Borge, J.3
Candil-García, G.4
Del Pino, M.5
Salcedo-Sanz, S.6
-
3
-
-
80255131412
-
Estimation of significant wave height in shallow lakes using the expert system techniques
-
Altunkaynak A, Wang K-H (2012) Estimation of significant wave height in shallow lakes using the expert system techniques. Expert Syst Appl 39:2549-2559. doi:10.1016/j.eswa.2011.08.106
-
(2012)
Expert Syst Appl
, vol.39
, pp. 2549-2559
-
-
Altunkaynak, A.1
Wang, K.-H.2
-
4
-
-
31044438334
-
Multi-time scale stream flow predictions: The support vector machines approach
-
Asefa T, Kemblowski M, McKee M, Khalil A (2006) Multi-time scale stream flow predictions: the support vector machines approach. J Hydrol 318:7-16
-
(2006)
J Hydrol
, vol.318
, pp. 7-16
-
-
Asefa, T.1
Kemblowski, M.2
McKee, M.3
Khalil, A.4
-
5
-
-
78649815601
-
Application of PSO (Particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran
-
Assareh E, Behrang M, Assari M, Ghanbarzadeh A (2010) Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran. Energy 35:5223-5229
-
(2010)
Energy
, vol.35
, pp. 5223-5229
-
-
Assareh, E.1
Behrang, M.2
Assari, M.3
Ghanbarzadeh, A.4
-
6
-
-
84890490801
-
Optimal siting of offshore wind-power combined with wave energy through a marine spatial planning approach
-
Azzellino A, Ferrante V, Kofoed JP, Lanfredi C, Vicinanza D (2013) Optimal siting of offshore wind-power combined with wave energy through a marine spatial planning approach. Int J Mar Energy 3:e11-e25
-
(2013)
Int J Mar Energy
, vol.3
, pp. e11-e25
-
-
Azzellino, A.1
Ferrante, V.2
Kofoed, J.P.3
Lanfredi, C.4
Vicinanza, D.5
-
7
-
-
0036997582
-
Rainfall Runoff Modelling Based on Genetic Programming
-
Babovic V, Keijzer M (2002) Rainfall Runoff Modelling Based on Genetic Programming. Hydrol Res 33(5):331-346. http://hr.iwaponline.com/content/33/5/331
-
(2002)
Hydrol Res
, vol.33
, Issue.5
, pp. 331-346
-
-
Babovic, V.1
Keijzer, M.2
-
9
-
-
27144489164
-
A Tutorial on Support Vector Machines for Pattern Recognition
-
Burges CJC (1998) A Tutorial on Support Vector Machines for Pattern Recognition. Data Min Knowl Discov 2(2):121-167. doi:10.1023/A:1009715923555
-
(1998)
Data Min Knowl Discov
, vol.2
, Issue.2
, pp. 121-167
-
-
Burges, C.1
-
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
-
-
0141430928
-
Radius margin bounds for support vector machines with the RBF kernel
-
Chung K-M, Kao W-C, Sun C-L, Wang L-L, Lin C-J (2003) Radius margin bounds for support vector machines with the RBF kernel. Neural Comput 15:2643-2681
-
(2003)
Neural Comput
, vol.15
, pp. 2643-2681
-
-
Chung, K.-M.1
Kao, W.-C.2
Sun, C.-L.3
Wang, L.-L.4
Lin, C.-J.5
-
12
-
-
0003554988
-
-
Institut Dalle Molle d’Intelligence Artificelle Perceptive (IDIAP), Martigny, Switzerland, Tech Rep IDIAP-RR-00-17
-
Collobert R, Bengio S (2000) Support vector machines for large-scale regression problems. Institut Dalle Molle d’Intelligence Artificelle Perceptive (IDIAP), Martigny, Switzerland, Tech Rep IDIAP-RR-00-17
-
(2000)
Support Vector Machines for Large-Scale Regression Problems
-
-
Collobert, R.1
Bengio, S.2
-
13
-
-
34249753618
-
Support-vector networks
-
Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273-297. doi:10.1007/BF00994018
-
(1995)
Mach Learn
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
16
-
-
15844394276
-
Evolutionary tuning of multiple SVM parameters
-
Friedrichs F, Igel C (2005) Evolutionary tuning of multiple SVM parameters. Neurocomputing 64:107-117
-
(2005)
Neurocomputing
, vol.64
, pp. 107-117
-
-
Friedrichs, F.1
Igel, C.2
-
17
-
-
84924272182
-
Soft computing approaches for forecasting reference evapotranspiration
-
Gocic M, Motamedi S, Shamshirband S, Petkovic D, Ch S, Hashim R, Arif M (2015) Soft computing approaches for forecasting reference evapotranspiration. Comput Electron Agric 113:164-173
-
(2015)
Comput Electron Agric
, vol.113
, pp. 164-173
-
-
Gocic, M.1
Motamedi, S.2
Shamshirband, S.3
Petkovic, D.4
Ch, S.5
Hashim, R.6
Arif, M.7
-
18
-
-
0034174280
-
Artificial neural networks in hydrology. I: Preliminary concepts
-
Govindaraju RS (2000) Artificial neural networks in hydrology. I: preliminary concepts. J Hydrol Eng 5:115-123
-
(2000)
J Hydrol Eng
, vol.5
, pp. 115-123
-
-
Govindaraju, R.S.1
-
19
-
-
0037138473
-
An assessment of support vector machines for land cover classification
-
Huang C, Davis L, Townshend J (2002) An assessment of support vector machines for land cover classification. Int J Remote Sens 23:725-749
-
(2002)
Int J Remote Sens
, vol.23
, pp. 725-749
-
-
Huang, C.1
Davis, L.2
Townshend, J.3
-
20
-
-
67349229243
-
Supervised machine learning algorithms for protein structure classification
-
Jain P, Garibaldi JM, Hirst JD (2009) Supervised machine learning algorithms for protein structure classification. Comput Biol Chem 33:216-223
-
(2009)
Comput Biol Chem
, vol.33
, pp. 216-223
-
-
Jain, P.1
Garibaldi, J.M.2
Hirst, J.D.3
-
21
-
-
77950409182
-
Built at sea: Marine management and the construction of marine spatial planning
-
Jay S (2010) Built at sea: Marine management and the construction of marine spatial planning. Town Plann Rev 81:173-192
-
(2010)
Town Plann Rev
, vol.81
, pp. 173-192
-
-
Jay, S.1
-
22
-
-
84870238942
-
Multitask multiclass support vector machines: Model and experiments
-
Ji Y, Sun S (2013) Multitask multiclass support vector machines: model and experiments. Pattern Recognit 46:914-924
-
(2013)
Pattern Recognit
, vol.46
, pp. 914-924
-
-
Ji, Y.1
Sun, S.2
-
23
-
-
84929959505
-
Quantitative evaluation of mining geo-environmental quality in Northeast China: Comprehensive index method and support vector machine models
-
Jiang X, Lu W, Zhao H, Yang Q, Chen M (2014) Quantitative evaluation of mining geo-environmental quality in Northeast China: comprehensive index method and support vector machine models. Environ Earth Sci 73(12):7945-7955. doi:10.1007/s12665-014-3953-7
-
(2014)
Environ Earth Sci
, vol.73
, Issue.12
, pp. 7945-7955
-
-
Jiang, X.1
Lu, W.2
Zhao, H.3
Yang, Q.4
Chen, M.5
-
24
-
-
84899488578
-
Impacts of wave energy and littoral currents on shoreline erosion/accretion along the south-west coast of Kanyakumari, Tamil Nadu using DSAS and geospatial technology
-
Kaliraj S, Chandrasekar N, Magesh N (2014) Impacts of wave energy and littoral currents on shoreline erosion/accretion along the south-west coast of Kanyakumari, Tamil Nadu using DSAS and geospatial technology. Environ Earth Sci 71:4523-4542
-
(2014)
Environ Earth Sci
, vol.71
, pp. 4523-4542
-
-
Kaliraj, S.1
Chandrasekar, N.2
Magesh, N.3
-
26
-
-
0342936331
-
Genetic programming and its application in real-time runoff forecasting 1 Jawra
-
Khu ST, Liong SY, Babovic V, Madsen H, Muttil N (2001) Genetic programming and its application in real-time runoff forecasting 1 Jawra. J Am Water Resour Assoc 37:439-451
-
(2001)
J am Water Resour Assoc
, vol.37
, pp. 439-451
-
-
Khu, S.T.1
Liong, S.Y.2
Babovic, V.3
Madsen, H.4
Muttil, N.5
-
27
-
-
84941236999
-
A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm
-
Kisi O, Shiri J, Karimi S, Shamshirband S, Motamedi S, Petkovic D, Hashim R (2015) A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm. Appl Math Comput 270:731-743. doi:10.1016/j.amc.2015.08.085
-
(2015)
Appl Math Comput
, vol.270
, pp. 731-743
-
-
Kisi, O.1
Shiri, J.2
Karimi, S.3
Shamshirband, S.4
Motamedi, S.5
Petkovic, D.6
Hashim, R.7
-
29
-
-
84977625358
-
Support vector machines for computer vision and pattern recognition
-
Lee S-W, Verri A (2003) Support vector machines for computer vision and pattern recognition. World Scientific
-
(2003)
World Scientific
-
-
Lee, S.-W.1
Verri, A.2
-
30
-
-
84920251426
-
Extraction algorithm of mining subsidence information on water area based on support vector machine
-
Li L, Wu K, Zhou D-W (2014) Extraction algorithm of mining subsidence information on water area based on support vector machine. Environ Earth Sci 72:3991-4000
-
(2014)
Environ Earth Sci
, vol.72
, pp. 3991-4000
-
-
Li, L.1
Wu, K.2
Zhou, D.-W.3
-
31
-
-
56549085451
-
Evolutionary tuning of SVM parameter values in multiclass problems
-
Lorena AC, De Carvalho AC (2008) Evolutionary tuning of SVM parameter values in multiclass problems. Neurocomputing 71:3326-3334
-
(2008)
Neurocomputing
, vol.71
, pp. 3326-3334
-
-
Lorena, A.C.1
de Carvalho, A.C.2
-
32
-
-
15544389367
-
Potential assessment of the “support vector machine” method in forecasting ambient air pollutant trends
-
Lu W-Z, Wang W-J (2005) Potential assessment of the “support vector machine” method in forecasting ambient air pollutant trends. Chemosphere 59:693-701
-
(2005)
Chemosphere
, vol.59
, pp. 693-701
-
-
Lu, W.-Z.1
Wang, W.-J.2
-
33
-
-
63649164524
-
Prediction of significant wave height using regressive support vector machines
-
Mahjoobi J, Adeli Mosabbeb E (2009) Prediction of significant wave height using regressive support vector machines. Ocean Eng 36:339-347. doi:10.1016/j.oceaneng.2009.01.001
-
(2009)
Ocean Eng
, vol.36
, pp. 339-347
-
-
Mahjoobi, J.1
Adeli Mosabbeb, E.2
-
34
-
-
50649091344
-
Hindcasting of wave parameters using different soft computing methods
-
Mahjoobi J, Etemad-Shahidi A, Kazeminezhad MH (2008) Hindcasting of wave parameters using different soft computing methods. Appl Ocean Res 30:28-36. doi:10.1016/j.apor.2008.03.002
-
(2008)
Appl Ocean Res
, vol.30
, pp. 28-36
-
-
Mahjoobi, J.1
Etemad-Shahidi, A.2
Kazeminezhad, M.H.3
-
35
-
-
1842843640
-
Improving wave predictions with artificial neural networks
-
Makarynskyy O (2004) Improving wave predictions with artificial neural networks. Ocean Eng 31:709-724. doi:10.1016/j.oceaneng.2003.05.003
-
(2004)
Ocean Eng
, vol.31
, pp. 709-724
-
-
Makarynskyy, O.1
-
37
-
-
0036085392
-
Intrusion detection using neural networks and support vector machines
-
Mukkamala S, Janoski G, Sung A (2002) Intrusion detection using neural networks and support vector machines. In: Proceedings of the 2002 International Joint Conference on Neural Networks, IEEE 2002. IJCNN’02, 2002, pp 1702-1707
-
(2002)
Proceedings of the 2002 International Joint Conference on Neural Networks, IEEE 2002. IJCNN’02
, vol.2002
, pp. 1702-1707
-
-
Mukkamala, S.1
Janoski, G.2
Sung, A.3
-
38
-
-
78049281871
-
Supervised machine learning and heterotic classification of maize (Zea mays L.) using molecular marker data
-
Ornella L, Tapia E (2010) Supervised machine learning and heterotic classification of maize (Zea mays L.) using molecular marker data. Comput Electron Agric 74:250-257. doi:10.1016/j.compag.2010.08.013
-
(2010)
Comput Electron Agric
, vol.74
, pp. 250-257
-
-
Ornella, L.1
Tapia, E.2
-
39
-
-
77957260567
-
Significant wave height forecasting using wavelet fuzzy logic approach
-
Özger M (2010) Significant wave height forecasting using wavelet fuzzy logic approach. Ocean Eng 37:1443-1451. doi:10.1016/j.oceaneng.2010.07.009
-
(2010)
Ocean Eng
, vol.37
, pp. 1443-1451
-
-
Özger, M.1
-
40
-
-
84891848026
-
Comparative study of firefly algorithm and particle swarm optimization for noisy non-linear optimization problems
-
Pal SK, Rai C, Singh AP (2012) Comparative study of firefly algorithm and particle swarm optimization for noisy non-linear optimization problems. Int J Intell Syst Appl (IJISA) 4:50
-
(2012)
Int J Intell Syst Appl (IJISA)
, vol.4
, pp. 50
-
-
Pal, S.K.1
Rai, C.2
Singh, A.P.3
-
41
-
-
54549091989
-
Support vector regression methodology for storm surge predictions
-
Rajasekaran S, Gayathri S, Lee T-L (2008) Support vector regression methodology for storm surge predictions. Ocean Eng 35:1578-1587
-
(2008)
Ocean Eng
, vol.35
, pp. 1578-1587
-
-
Rajasekaran, S.1
Gayathri, S.2
Lee, T.-L.3
-
42
-
-
84925461359
-
Application of wavelet analysis and a particle swarm-optimized support vector machine to predict the displacement of the Shuping landslide in the Three Gorges
-
Ren F, Wu X, Zhang K, Niu R (2015) Application of wavelet analysis and a particle swarm-optimized support vector machine to predict the displacement of the Shuping landslide in the Three Gorges. China Environ Earth Sci 73:4791-4804
-
(2015)
China Environ Earth Sci
, vol.73
, pp. 4791-4804
-
-
Ren, F.1
Wu, X.2
Zhang, K.3
Niu, R.4
-
43
-
-
84896505175
-
Wind turbine power coefficient estimation by soft computing methodologies: Comparative study
-
Shamshirband S et al (2014) Wind turbine power coefficient estimation by soft computing methodologies: comparative study. Energy Convers Manag 81:520-526
-
(2014)
Energy Convers Manag
, vol.81
, pp. 520-526
-
-
Shamshirband, S.1
-
44
-
-
84929121341
-
A hybrid SVM-FFA method for prediction of monthly mean global solar radiation
-
Shamshirband S, Mohammadi K, Tong CW, Zamani M, Motamedi S, Ch S (2015) A hybrid SVM-FFA method for prediction of monthly mean global solar radiation. Theor Appl Climatol 1-13. doi:10.1007/s00704-015-1482-2
-
(2015)
Theor Appl Climatol
, pp. 1-13
-
-
Shamshirband, S.1
Mohammadi, K.2
Tong, C.W.3
Zamani, M.4
Motamedi, S.5
Ch, S.6
-
45
-
-
84893850117
-
Appraisal of land use/land cover of mangrove forest ecosystem using support vector machine
-
Singh SK, Srivastava PK, Gupta M, Thakur JK, Mukherjee S (2014) Appraisal of land use/land cover of mangrove forest ecosystem using support vector machine. Environ Earth Sci 71:2245-2255
-
(2014)
Environ Earth Sci
, vol.71
, pp. 2245-2255
-
-
Singh, S.K.1
Srivastava, P.K.2
Gupta, M.3
Thakur, J.K.4
Mukherjee, S.5
-
46
-
-
84880751652
-
Sensitivity assessment of wave heights to surface forcing in Cook Inlet
-
Singhal G, Panchang VG, Nelson JA (2013) Sensitivity assessment of wave heights to surface forcing in Cook Inlet. Alaska Cont Shelf Res 63:S50-S62
-
(2013)
Alaska Cont Shelf Res
, vol.63
, pp. S50-S62
-
-
Singhal, G.1
Panchang, V.G.2
Nelson, J.A.3
-
47
-
-
84887452388
-
A survey of multi-view machine learning
-
Sun S (2013) A survey of multi-view machine learning. Neural Comput Appl 23:2031-2038
-
(2013)
Neural Comput Appl
, vol.23
, pp. 2031-2038
-
-
Sun, S.1
-
49
-
-
0034174356
-
Hydrological forecasting using neural networks
-
Thirumalaiah K, Deo MC (2000) Hydrological forecasting using neural networks. J Hydrol Eng 5:180-189
-
(2000)
J Hydrol Eng
, vol.5
, pp. 180-189
-
-
Thirumalaiah, K.1
Deo, M.C.2
-
52
-
-
0025477595
-
Genetic algorithms and neural networks: Optimizing connections and connectivity
-
Whitley D, Starkweather T, Bogart C (1990) Genetic algorithms and neural networks: optimizing connections and connectivity. Parallel Comput 14(3):347-361. doi:10.1016/0167-8191(90)90086-O
-
(1990)
Parallel Comput
, vol.14
, Issue.3
, pp. 347-361
-
-
Whitley, D.1
Starkweather, T.2
Bogart, C.3
-
53
-
-
58249083168
-
Choosing the kernel parameters for support vector machines by the inter-cluster distance in the feature space
-
Wu K-P, Wang S-D (2009) Choosing the kernel parameters for support vector machines by the inter-cluster distance in the feature space. Pattern Recognit 42:710-717
-
(2009)
Pattern Recognit
, vol.42
, pp. 710-717
-
-
Wu, K.-P.1
Wang, S.-D.2
-
54
-
-
84899943944
-
Landslide susceptibility assessment using object mapping units, decision tree, and support vector machine models in the Three Gorges of China
-
Wu X, Ren F, Niu R (2014) Landslide susceptibility assessment using object mapping units, decision tree, and support vector machine models in the Three Gorges of China. Environ Earth Sci 71:4725-4738
-
(2014)
Environ Earth Sci
, vol.71
, pp. 4725-4738
-
-
Wu, X.1
Ren, F.2
Niu, R.3
-
55
-
-
84892443164
-
Identification of algal blooms based on support vector machine classification in Haizhou Bay
-
Xu Y, Cheng C, Zhang Y, Zhang D (2014) Identification of algal blooms based on support vector machine classification in Haizhou Bay. East China Sea Environ Earth Sci 71:475-482
-
(2014)
East China Sea Environ Earth Sci
, vol.71
, pp. 475-482
-
-
Xu, Y.1
Cheng, C.2
Zhang, Y.3
Zhang, D.4
-
56
-
-
77957863557
-
Stochastic Algorithms: Foundations and Applications
-
Watanabe O, Zeugmann T (eds), Sapporo, Japan, October 2009. Proceedings, Springer Berlin Heidelberg
-
Yang XS (2009) Stochastic Algorithms: Foundations and Applications: In: Watanabe O, Zeugmann T (eds) 5th International Symposium, Sapporo, Japan, October 2009. Proceedings, Springer Berlin Heidelberg, pp 169-178. http://doi.org/10.1007/978-3-642-04944-6_14
-
(2009)
5Th International Symposium
, pp. 169-178
-
-
Yang, X.S.1
-
57
-
-
80055043441
-
Research and Development in Intelligent Systems XXVI
-
Bramer M, Ellis R, Petridis M (eds), Springer London
-
Yang XS (2010) Research and Development in Intelligent Systems XXVI. In: Bramer M, Ellis R, Petridis M (eds) Incorporating Applications and Innovations in Intelligent Systems XVII, Springer London, pp 209-218 doi:10.1007/978-1-84882-983-1_15
-
(2010)
Incorporating Applications and Innovations in Intelligent Systems XVII
, pp. 209-218
-
-
Yang, X.S.1
-
58
-
-
84880515221
-
Multiobjective firefly algorithm for continuous optimization
-
Yang X-S (2013) Multiobjective firefly algorithm for continuous optimization. Eng Comput 29:175-184
-
(2013)
Eng Comput
, vol.29
, pp. 175-184
-
-
Yang, X.-S.1
-
59
-
-
84891856416
-
Cuckoo search: Recent advances and applications
-
Yang X-S, Deb S (2014) Cuckoo search: recent advances and applications. Neural Comput Appl 24:169-174
-
(2014)
Neural Comput Appl.
, vol.24
, pp. 169-174
-
-
Yang, X.-S.1
Deb, S.2
-
60
-
-
67349170327
-
Localized support vector regression for time series prediction
-
Yang H, Huang K, King I, Lyu MR (2009) Localized support vector regression for time series prediction. Neurocomputing 72:2659-2669
-
(2009)
Neurocomputing
, vol.72
, pp. 2659-2669
-
-
Yang, H.1
Huang, K.2
King, I.3
Lyu, M.R.4
|