-
1
-
-
54249106794
-
A new image thresholding method based on gaussian mixture model
-
Huang Z, Chau K (2008) A new image thresholding method based on gaussian mixture model. Appl Math Comput 205(2): 899-907.
-
(2008)
Appl Math Comput
, vol.205
, Issue.2
, pp. 899-907
-
-
Huang, Z.1
Chau, K.2
-
2
-
-
0036845179
-
Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall-runoff model calibration
-
Cheng C, Ou C, Chau K (2002) Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall-runoff model calibration. J Hydrol 268(1): 72-86.
-
(2002)
J Hydrol
, vol.268
, Issue.1
, pp. 72-86
-
-
Cheng, C.1
Ou, C.2
Chau, K.3
-
3
-
-
33845447724
-
A hybrid adaptive time-delay neural network model for multi-step-ahead prediction of sunspot activity
-
Xie J, Cheng C, Chau K, Pei Y (2006) A hybrid adaptive time-delay neural network model for multi-step-ahead prediction of sunspot activity. Int J Environ Pollut 28(3): 364-381.
-
(2006)
Int J Environ Pollut
, vol.28
, Issue.3
, pp. 364-381
-
-
Xie, J.1
Cheng, C.2
Chau, K.3
Pei, Y.4
-
4
-
-
54249107904
-
Palmprint identification using restricted fusion
-
Jia W, Ling B, Chau K, Heutte L (2008) Palmprint identification using restricted fusion. Appl Math Comput 205(2): 927-934.
-
(2008)
Appl Math Comput
, vol.205
, Issue.2
, pp. 927-934
-
-
Jia, W.1
Ling, B.2
Chau, K.3
Heutte, L.4
-
5
-
-
85006941509
-
Rainfall and runoff forecasting with SSA-SVM approach
-
Sivapragasam C, Liong S, Pasha M (2001) Rainfall and runoff forecasting with SSA-SVM approach. J Hydroinformat 3(3): 141-152.
-
(2001)
J Hydroinformat
, vol.3
, Issue.3
, pp. 141-152
-
-
Sivapragasam, C.1
Liong, S.2
Pasha, M.3
-
7
-
-
10944222348
-
Use of soft information to describe the relative uncertainty of calibration data in hydrologic models
-
Khadam I, Kaluarachchi J (2004) Use of soft information to describe the relative uncertainty of calibration data in hydrologic models. Water Resour Res 40(11): W11505.
-
(2004)
Water Resour Res
, vol.40
, Issue.11
-
-
Khadam, I.1
Kaluarachchi, J.2
-
8
-
-
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(1-4): 7-16.
-
(2006)
J Hydrol
, vol.318
, Issue.1-4
, pp. 7-16
-
-
Asefa, T.1
Kemblowski, M.2
McKee, M.3
Khalil, A.4
-
9
-
-
0346250790
-
Practical selection of SVM parameters and noise estimation for SVM regression
-
Cherkassky V, Ma Y (2004) Practical selection of SVM parameters and noise estimation for SVM regression. Neural Netw 17(1): 113-126.
-
(2004)
Neural Netw
, vol.17
, Issue.1
, pp. 113-126
-
-
Cherkassky, V.1
Ma, Y.2
-
10
-
-
0003798627
-
Using support vector machines for time series prediction
-
MIT press, Cambridge
-
Müller K, Smola A, Rätsch G, Schölkopf B, Kohlmorgen J, Vapnik V (2000) Using support vector machines for time series prediction. In: Advances in kernel methods: support vector machine. MIT press, Cambridge.
-
(2000)
Advances in kernel methods: Support vector machine
-
-
Müller, K.1
Smola, A.2
Rätsch, G.3
Schölkopf, B.4
Kohlmorgen, J.5
Vapnik, V.6
-
12
-
-
0035398081
-
Model induction with support vector machines: introduction and applications
-
Dibike Y, Velickov S, Solomatine D, Abbott M (2001) Model induction with support vector machines: introduction and applications. J Comput Civil Eng 15(3): 208-216.
-
(2001)
J Comput Civil Eng
, vol.15
, Issue.3
, pp. 208-216
-
-
Dibike, Y.1
Velickov, S.2
Solomatine, D.3
Abbott, M.4
-
14
-
-
85006941509
-
Rainfall and runoff forecasting with SSA-SVM approach
-
Sivapragasam C, Liong S, Pasha M (2001) Rainfall and runoff forecasting with SSA-SVM approach. J Hydroinformatics 3(3): 141-152.
-
(2001)
J Hydroinformatics
, vol.3
, Issue.3
, pp. 141-152
-
-
Sivapragasam, C.1
Liong, S.2
Pasha, M.3
-
15
-
-
1642578192
-
Modelling of river discharges and rainfall using radial basis function networks based on support vector regression
-
Choy K, Chan C (2003) Modelling of river discharges and rainfall using radial basis function networks based on support vector regression. Int J Syst Sci 34(1): 763-773.
-
(2003)
Int J Syst Sci
, vol.34
, Issue.1
, pp. 763-773
-
-
Choy, K.1
Chan, C.2
-
16
-
-
84919454581
-
EC-SVM approach for real-time hydrologic forecasting
-
Yu X, Liong S, Babovic V (2004) EC-SVM approach for real-time hydrologic forecasting. J Hydroinformatics 6(3): 209-223.
-
(2004)
J Hydroinformatics
, vol.6
, Issue.3
, pp. 209-223
-
-
Yu, X.1
Liong, S.2
Babovic, V.3
-
17
-
-
33746916489
-
Support vector regression for real-time flood stage forecasting
-
Yu P, Chen S, Chang I (2006) Support vector regression for real-time flood stage forecasting. J Hydrol 328(3-4): 704-716.
-
(2006)
J Hydrol
, vol.328
, Issue.3-4
, pp. 704-716
-
-
Yu, P.1
Chen, S.2
Chang, I.3
-
18
-
-
79955221645
-
A closed loop stability analysis and parameter selection of the particle swarm optimization dynamics for faster convergence
-
CEC 2007. IEEE congress on, IEEE
-
Samal N, Konar A, Das S, Abraham A (2007) A closed loop stability analysis and parameter selection of the particle swarm optimization dynamics for faster convergence. In: Evolutionary computation, 2007. CEC 2007. IEEE congress on, IEEE, pp. 1769-1776.
-
(2007)
Evolutionary computation, 2007
, pp. 1769-1776
-
-
Samal, N.1
Konar, A.2
Das, S.3
Abraham, A.4
-
19
-
-
84857656487
-
An inertia-adaptive particle swarm system with particle mobility factor for improved global optimization
-
Ghosh S, Das S, Kundu D, Suresh K, Panigrahi B, Cui Z (2012) An inertia-adaptive particle swarm system with particle mobility factor for improved global optimization. Neural Comput Appl 21(2): 237-250.
-
(2012)
Neural Comput Appl
, vol.21
, Issue.2
, pp. 237-250
-
-
Ghosh, S.1
Das, S.2
Kundu, D.3
Suresh, K.4
Panigrahi, B.5
Cui, Z.6
-
20
-
-
84865606945
-
Multi-sensor data fusion using support vector machine for motor fault detection
-
Banerjee T, Das S (2012) Multi-sensor data fusion using support vector machine for motor fault detection. Inf Sci 217: 96-107.
-
(2012)
Inf Sci
, vol.217
, pp. 96-107
-
-
Banerjee, T.1
Das, S.2
-
21
-
-
84862688092
-
A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization
-
Nasir M, Das S, Maity D, Sengupta S, Haldar U, Suganthan P (2012) A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization. Inf Sci 209: 16-36.
-
(2012)
Inf Sci
, vol.209
, pp. 16-36
-
-
Nasir, M.1
Das, S.2
Maity, D.3
Sengupta, S.4
Haldar, U.5
Suganthan, P.6
-
22
-
-
77949606603
-
Hybridization of particle swarm optimization with quadratic approximation
-
Deep K, Bansal J (2009) Hybridization of particle swarm optimization with quadratic approximation. Opsearch 46(1): 3-24.
-
(2009)
Opsearch
, vol.46
, Issue.1
, pp. 3-24
-
-
Deep, K.1
Bansal, J.2
|