-
2
-
-
67349089877
-
Data-driven soft sensors in the process industry
-
P. Kadlec, B. Gabrys, and S. Strandt Data-driven soft sensors in the process industry Comput. Chem. Eng. 33 2009 795 814
-
(2009)
Comput. Chem. Eng.
, vol.33
, pp. 795-814
-
-
Kadlec, P.1
Gabrys, B.2
Strandt, S.3
-
3
-
-
77956444702
-
The state of the art in chemical process control in Japan: Good practice and questionnaire survey
-
M. Kano, and M. Ogawa The state of the art in chemical process control in Japan: good practice and questionnaire survey J. Process Control 20 2010 969 982
-
(2010)
J. Process Control
, vol.20
, pp. 969-982
-
-
Kano, M.1
Ogawa, M.2
-
4
-
-
0043015539
-
Nonlinear principal component analysis-based on principal curves and neural networks
-
D. Dong, and T.J. McAvoy Nonlinear principal component analysis-based on principal curves and neural networks Comput. Chem. Eng. 20 1996 65 78
-
(1996)
Comput. Chem. Eng.
, vol.20
, pp. 65-78
-
-
Dong, D.1
McAvoy, T.J.2
-
5
-
-
0000325341
-
LIII. on lines and planes of closest fit to systems of points in space
-
K. Pearson LIII. On lines and planes of closest fit to systems of points in space Lond. Edin. Dub. Philos. Mag. J. Sci. 2 1901 559 572
-
(1901)
Lond. Edin. Dub. Philos. Mag. J. Sci.
, vol.2
, pp. 559-572
-
-
Pearson, K.1
-
6
-
-
0001098205
-
Estimation of principal components and related models by iterative least squares
-
H. Wold Estimation of principal components and related models by iterative least squares Multivar. Anal. 1 1966 391 420
-
(1966)
Multivar. Anal.
, vol.1
, pp. 391-420
-
-
Wold, H.1
-
7
-
-
11144325691
-
Partial least-squares regression: A tutorial
-
P. Geladi, and B.R. Kowalski Partial least-squares regression: a tutorial Anal. Chim. Acta 185 1986 1 17
-
(1986)
Anal. Chim. Acta
, vol.185
, pp. 1-17
-
-
Geladi, P.1
Kowalski, B.R.2
-
8
-
-
0032044750
-
Recursive PLS algorithms for adaptive data modeling
-
S.J. Qin Recursive PLS algorithms for adaptive data modeling Comput. Chem. Eng. 22 1998 503 514
-
(1998)
Comput. Chem. Eng.
, vol.22
, pp. 503-514
-
-
Qin, S.J.1
-
9
-
-
0026853320
-
Nonlinear PLS modeling using neural networks
-
S.J. Qin, and T.J. McAvoy Nonlinear PLS modeling using neural networks Comput. Chem. Eng. 16 1992 379 391
-
(1992)
Comput. Chem. Eng.
, vol.16
, pp. 379-391
-
-
Qin, S.J.1
McAvoy, T.J.2
-
11
-
-
2342567014
-
Soft sensing modeling based on support vector machine and Bayesian model selection
-
W.W. Yan, H.H. Shao, and X.F. Wang Soft sensing modeling based on support vector machine and Bayesian model selection Comput. Chem. Eng. 28 2004 1489 1498
-
(2004)
Comput. Chem. Eng.
, vol.28
, pp. 1489-1498
-
-
Yan, W.W.1
Shao, H.H.2
Wang, X.F.3
-
12
-
-
27444433806
-
Soft-sensor development for fed-batch bioreactors using support vector regression
-
K. Desai, Y. Badhe, S.S. Tambe, and B.D. Kulkarni Soft-sensor development for fed-batch bioreactors using support vector regression Biochem. Eng. J. 27 2006 225 239
-
(2006)
Biochem. Eng. J.
, vol.27
, pp. 225-239
-
-
Desai, K.1
Badhe, Y.2
Tambe, S.S.3
Kulkarni, B.D.4
-
13
-
-
0003288488
-
Neural networks for intelligent sensors and control - Practical issues and some solutions
-
S.J. Qin Neural networks for intelligent sensors and control - practical issues and some solutions Neural Systems for Control 1997 213
-
(1997)
Neural Systems for Control
, pp. 213
-
-
Qin, S.J.1
-
14
-
-
0034661135
-
A nonlinear soft sensor based on multivariate smoothing procedure for quality estimation in distillation columns
-
S. Park, and C. Han A nonlinear soft sensor based on multivariate smoothing procedure for quality estimation in distillation columns Comput. Chem. Eng. 24 2000 871 877
-
(2000)
Comput. Chem. Eng.
, vol.24
, pp. 871-877
-
-
Park, S.1
Han, C.2
-
15
-
-
11144284581
-
Soft sensors for product quality monitoring in debutanizer distillation columns
-
L. Fortuna, S. Graziani, and M.G. Xibilia Soft sensors for product quality monitoring in debutanizer distillation columns Control Eng. Pract. 13 2005 499 508
-
(2005)
Control Eng. Pract.
, vol.13
, pp. 499-508
-
-
Fortuna, L.1
Graziani, S.2
Xibilia, M.G.3
-
17
-
-
84055222005
-
Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition
-
G.E. Dahl, D. Yu, L. Deng, and A. Acero Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition IEEE Trans. Audio Speech Lang. Process. 20 2012 30 42
-
(2012)
IEEE Trans. Audio Speech Lang. Process.
, vol.20
, pp. 30-42
-
-
Dahl, G.E.1
Yu, D.2
Deng, L.3
Acero, A.4
-
19
-
-
84858779990
-
A scalable hierarchical distributed language model
-
A. Mnih, and G.E. Hinton A scalable hierarchical distributed language model Adv. Neural Inf. Process. Syst. 21 2009 1081 1088
-
(2009)
Adv. Neural Inf. Process. Syst.
, vol.21
, pp. 1081-1088
-
-
Mnih, A.1
Hinton, G.E.2
-
20
-
-
69349090197
-
Learning deep architectures for AI
-
Y. Bengio Learning deep architectures for AI Found. Trends Mach. Learn. 2 2009 1 127
-
(2009)
Found. Trends Mach. Learn.
, vol.2
, pp. 1-127
-
-
Bengio, Y.1
-
24
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
G.E. Hinton, S. Osindero, and Y.-W. Teh A fast learning algorithm for deep belief nets Neural Comput. 18 2006 1527 1554
-
(2006)
Neural Comput.
, vol.18
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.-W.3
-
25
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
G.E. Hinton, and R.R. Salakhutdinov Reducing the dimensionality of data with neural networks Science 313 2006 504 507
-
(2006)
Science
, vol.313
, pp. 504-507
-
-
Hinton, G.E.1
Salakhutdinov, R.R.2
-
27
-
-
84861125212
-
A practical guide to training restricted Boltzmann machines
-
G.E. Hinton A practical guide to training restricted Boltzmann machines Momentum 9 2010 1
-
(2010)
Momentum
, vol.9
, pp. 1
-
-
Hinton, G.E.1
|