-
1
-
-
34250167583
-
Modeling and control of internal combustion engines using intelligent techniques
-
S.H. Lee, R.J. Howlett, S.D. Walters, C. Crua, "Modeling and control of internal combustion engines using intelligent techniques," Cybernetics and Systems, vol. 38, pp. 509-533, 2007.
-
(2007)
Cybernetics and Systems
, vol.38
, pp. 509-533
-
-
Lee, S.H.1
Howlett, R.J.2
Walters, S.D.3
Crua, C.4
-
2
-
-
33751583615
-
Automotive powertrain control - A survey
-
J.A. Cook, J. Sun, J.H. Buckland, I.V. Kolmanovsky, H. Peng, and J.W. Grizzle, "Automotive powertrain control - A survey," Asian Journal of Control, vol. 8, pp. 237-260, 2006.
-
(2006)
Asian Journal of Control
, vol.8
, pp. 237-260
-
-
Cook, J.A.1
Sun, J.2
Buckland, J.H.3
Kolmanovsky, I.V.4
Peng, H.5
Grizzle, J.W.6
-
3
-
-
70449627257
-
Dynamic engine modeling through linear programming support vector regression
-
June 10-12, St. Louis, Missouri
-
Z. Lu, J. Sun, and K. Butts. "Dynamic engine modeling through linear programming support vector regression", in Proc. American Control Conference, June 10-12, St. Louis, Missouri, 2009.
-
(2009)
Proc. American Control Conference
-
-
Lu, Z.1
Sun, J.2
Butts, K.3
-
4
-
-
4043137356
-
A tutorial on support vector regression
-
A.J. Smola, B. Schölkopf, "A tutorial on support vector regression," Statistics and Computing, vol. 14, pp. 199-222, 2004.
-
(2004)
Statistics and Computing
, vol.14
, pp. 199-222
-
-
Smola, A.J.1
Schölkopf, B.2
-
5
-
-
0035272287
-
An introduction to kernel-based learning algorithms
-
K.R. Müller, S. Mika, G. Rätsch, K. Tsuda, and B. Schölkopf, "An introduction to kernel-based learning algorithms", IEEE Trans. Neural Networks, vol. 12, pp. 181-202, 2001.
-
(2001)
IEEE Trans. Neural Networks
, vol.12
, pp. 181-202
-
-
Müller, K.R.1
Mika, S.2
Rätsch, G.3
Tsuda, K.4
Schölkopf, B.5
-
6
-
-
0004291150
-
-
MIT Press, Cambridge, MA
-
V. Kecman, Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models, MIT Press, Cambridge, MA, 2001.
-
(2001)
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
-
-
Kecman, V.1
-
7
-
-
0004094721
-
-
MIT Press, Cambridge, MA
-
B. Schölkopf, A.J. Smola, Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond, MIT Press, Cambridge, MA, 2002.
-
(2002)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and beyond
-
-
Schölkopf, B.1
Smola, A.J.2
-
8
-
-
0003798635
-
-
Cambridge University Press, Cambridge, MA
-
N. Cristianini, J. Shawe-Taylor, An Introduction to Support Vector Machines and other Kernel-based Learning Methods, Cambridge University Press, Cambridge, MA, 2000.
-
(2000)
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
-
-
Cristianini, N.1
Shawe-Taylor, J.2
-
9
-
-
53749102436
-
Non-Mercer hybrid kernel for linear programming support vector regression in nonlinear systems identification
-
Z. Lu, and J. Sun. "Non-Mercer hybrid kernel for linear programming support vector regression in nonlinear systems identification", Applied Soft Computing, 9(1) (2009) 94-99.
-
(2009)
Applied Soft Computing
, vol.9
, Issue.1
, pp. 94-99
-
-
Lu, Z.1
Sun, J.2
-
10
-
-
61449246384
-
Linear programming support vector regression with wavelet kernel: A new approach to nonlinear dynamical systems identification
-
Z. Lu, J. Sun, and K. Butts. "Linear programming support vector regression with wavelet kernel: A new approach to nonlinear dynamical systems identification", Mathematics and Computers in Simulation, 79(7) (2009) 2051-2063.
-
(2009)
Mathematics and Computers in Simulation
, vol.79
, Issue.7
, pp. 2051-2063
-
-
Lu, Z.1
Sun, J.2
Butts., K.3
-
11
-
-
0035311654
-
On the modeling of nonlinear dynamic systems using support vector neural networks
-
W.C. Chan, C.W. Chan, K.C. Cheung, and C.J. Harris, "On the modeling of nonlinear dynamic systems using support vector neural networks," Engineering Applications of Artificial Intelligence, vol. 14, pp. 105-113, 2001.
-
(2001)
Engineering Applications of Artificial Intelligence
, vol.14
, pp. 105-113
-
-
Chan, W.C.1
Chan, C.W.2
Cheung, K.C.3
Harris, C.J.4
-
12
-
-
48749127818
-
Support vector regression from simulation data and few experimental samples
-
G. Bloch, F. Lauer, C. Guillaume and C. Yann. "Support vector regression from simulation data and few experimental samples", Information Sciences, 178 (2008) 3813-3827.
-
(2008)
Information Sciences
, vol.178
, pp. 3813-3827
-
-
Bloch, G.1
Lauer, F.2
Guillaume, C.3
Yann, C.4
-
13
-
-
34147187067
-
Support vector machines for nonlinear kernel ARMA system identification
-
M. Martinez-Ramon, J.L. Rojo-Álvarez, G. Camps-Valls, J. Muñoz-Marí, A. Artes-Rodriguez, A.R. Figueiras-Vidal, Support vector machines for nonlinear kernel ARMA system identification, IEEE Trans. Neural Networks 17 (2006) 1617-1622.
-
(2006)
IEEE Trans. Neural Networks
, vol.17
, pp. 1617-1622
-
-
Martinez-Ramon, M.1
Rojo-Álvarez, J.L.2
Camps-Valls, G.3
Muñoz-Marí, J.4
Artes-Rodriguez, A.5
Figueiras-Vidal, A.R.6
-
14
-
-
31144448472
-
Composite kernels for hyperspectral image classification
-
DOI 10.1109/LGRS.2005.857031
-
G. Camps-Valls, L. Gomez-Chova, J. Muñoz-Marí, J. Vila-Francés, J. Calpe-Maravilla, Composite kernel for hyperspectral image classification, IEEE Geoscience and Remote Sensing Letters, 3(1) (2006) 93-97. (Pubitemid 43131904)
-
(2006)
IEEE Geoscience and Remote Sensing Letters
, vol.3
, Issue.1
, pp. 93-97
-
-
Camps-Valls, G.1
Gomez-Chova, L.2
Munoz-Mari, J.3
Vila-Frances, J.4
Calpe-Maravilla, J.5
-
15
-
-
0010451796
-
How to design a regularization term for improving generalization
-
Perth, Australia, Nov.
-
A. Nakashima, H. Ogawa, How to design a regularization term for improving generalization, in Proc. 6th Int. Conf. Neural Information Processing, Perth, Australia, Nov., 1999.
-
(1999)
Proc. 6th Int. Conf. Neural Information Processing
-
-
Nakashima, A.1
Ogawa, H.2
-
16
-
-
77957807082
-
Soft-constrained linear programming support vector regression for nonlinear black-box systems identification
-
Eds. D. Vrakas and I. Vlahavas. Information Science Reference Publishing, Feb.
-
Z. Lu, and J. Sun. "Soft-constrained Linear Programming Support Vector Regression for Nonlinear Black-box Systems Identification", In Artificial Intelligence for Advanced Problem Solving Techniques, Eds. D. Vrakas and I. Vlahavas. Information Science Reference Publishing, Feb. 2008.
-
(2008)
Artificial Intelligence for Advanced Problem Solving Techniques
-
-
Lu, Z.1
Sun, J.2
|