-
1
-
-
0028468293
-
Using mutual information for selecting features in supervised neural net learning
-
Battiti R. Using mutual information for selecting features in supervised neural net learning. IEEE Transactions on Neural Networks 1994, 5(4):537-550.
-
(1994)
IEEE Transactions on Neural Networks
, vol.5
, Issue.4
, pp. 537-550
-
-
Battiti, R.1
-
3
-
-
84889281816
-
-
John Wiley & Sons, Inc., Hoboken, NJ, USA
-
Cover T.M., Thomas J.A. Elements of information theory 2006, John Wiley & Sons, Inc., Hoboken, NJ, USA.
-
(2006)
Elements of information theory
-
-
Cover, T.M.1
Thomas, J.A.2
-
4
-
-
27444433806
-
Soft-sensor development for fed-batch bioreactors using support vector regression
-
Desai K., Badhe Y., Tambe S.S., Kulkarni B.D. Soft-sensor development for fed-batch bioreactors using support vector regression. Biochemical Engineering Journal 2006, 27(3):225-239.
-
(2006)
Biochemical Engineering Journal
, vol.27
, Issue.3
, pp. 225-239
-
-
Desai, K.1
Badhe, Y.2
Tambe, S.S.3
Kulkarni, B.D.4
-
5
-
-
52949129443
-
Biomass estimation in batch biotechnological processes by Bayesian Gaussian process regression
-
di Sciascio F., Amicarelli A.N. Biomass estimation in batch biotechnological processes by Bayesian Gaussian process regression. Computers and Chemical Engineering 2008, 32(12):3264-3273.
-
(2008)
Computers and Chemical Engineering
, vol.32
, Issue.12
, pp. 3264-3273
-
-
di Sciascio, F.1
Amicarelli, A.N.2
-
9
-
-
33847674996
-
Resampling methods for parameter-free and robust feature selection with mutual information
-
François D., Rossi F., Wertz V., Verleysen M. Resampling methods for parameter-free and robust feature selection with mutual information. Neurocomputing 2007, 70(7-9):1276-1288.
-
(2007)
Neurocomputing
, vol.70
, Issue.7-9
, pp. 1276-1288
-
-
François, D.1
Rossi, F.2
Wertz, V.3
Verleysen, M.4
-
10
-
-
11144284581
-
Soft sensors for product quality monitoring in debutanizer distillation columns
-
Fortuna L., Graziani S., Xibilia M.G. Soft sensors for product quality monitoring in debutanizer distillation columns. Control Engineering Practice 2005, 13(4):499-508.
-
(2005)
Control Engineering Practice
, vol.13
, Issue.4
, pp. 499-508
-
-
Fortuna, L.1
Graziani, S.2
Xibilia, M.G.3
-
11
-
-
44349146289
-
-
Springer Verlag, London
-
Fortuna L., Graziani S., Rizzo A., Xibilia M.G. Soft sensors for monitoring and control of industrial processes 2007, Springer Verlag, London.
-
(2007)
Soft sensors for monitoring and control of industrial processes
-
-
Fortuna, L.1
Graziani, S.2
Rizzo, A.3
Xibilia, M.G.4
-
13
-
-
68049143320
-
Soft-sensor development using correlation-based just-in-time modeling
-
Fujiwara K., Kano M., Hasebe S., Takinami A. Soft-sensor development using correlation-based just-in-time modeling. AIChE Journal 2009, 55(7):1754-1765.
-
(2009)
AIChE Journal
, vol.55
, Issue.7
, pp. 1754-1765
-
-
Fujiwara, K.1
Kano, M.2
Hasebe, S.3
Takinami, A.4
-
14
-
-
79954505385
-
Quality prediction for polypropylene production process based on CLGPR model
-
Ge Z., Chen T., Song Z. Quality prediction for polypropylene production process based on CLGPR model. Control Engineering Practice 2011, 19(5):423-432.
-
(2011)
Control Engineering Practice
, vol.19
, Issue.5
, pp. 423-432
-
-
Ge, Z.1
Chen, T.2
Song, Z.3
-
15
-
-
11144325691
-
Partial least-squares regression: a tutorial
-
Geladi P., Kowalski B.R. Partial least-squares regression: a tutorial. Analytica Chimica Acta 1986, 185:1-17.
-
(1986)
Analytica Chimica Acta
, vol.185
, pp. 1-17
-
-
Geladi, P.1
Kowalski, B.R.2
-
17
-
-
57049112694
-
ANN-based soft-sensor for real-time process monitoring and control of an industrial polymerization process
-
Gonzaga J.C.B., Meleiro L.A.C., Kiang C., Maciel Filho R. ANN-based soft-sensor for real-time process monitoring and control of an industrial polymerization process. Computers and Chemical Engineering 2009, 33(1):43-49.
-
(2009)
Computers and Chemical Engineering
, vol.33
, Issue.1
, pp. 43-49
-
-
Gonzaga, J.C.B.1
Meleiro, L.A.C.2
Kiang, C.3
Maciel Filho, R.4
-
21
-
-
0003684449
-
-
Springer, New York
-
Hastie T., Tibshirani R., Friedman J. The elements of statistical learning: data mining, inference and prediction 2005, Springer, New York. 2nd edition.
-
(2005)
The elements of statistical learning: data mining, inference and prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
26
-
-
77956444702
-
The state of the art in chemical process control in Japan: Good practice and questionnaire survey
-
Kano M., Ogawa M. The state of the art in chemical process control in Japan: Good practice and questionnaire survey. Journal of Process Control 2010, 20(9):969-982.
-
(2010)
Journal of Process Control
, vol.20
, Issue.9
, pp. 969-982
-
-
Kano, M.1
Ogawa, M.2
-
27
-
-
80053188234
-
Variable window adaptive Kernel Principal Component Analysis for nonlinear nonstationary process monitoring
-
Khediri I.B., Limam M., Weihs C. Variable window adaptive Kernel Principal Component Analysis for nonlinear nonstationary process monitoring. Computers and Industrial Engineering 2011, 61(3):437-446.
-
(2011)
Computers and Industrial Engineering
, vol.61
, Issue.3
, pp. 437-446
-
-
Khediri, I.B.1
Limam, M.2
Weihs, C.3
-
29
-
-
0034301495
-
Recursive PCA for adaptive process monitoring
-
Li W., Yue H.H., Valle-Cervantes S., Qin S.J. Recursive PCA for adaptive process monitoring. Journal of Process Control 2000, 10(5):471-486.
-
(2000)
Journal of Process Control
, vol.10
, Issue.5
, pp. 471-486
-
-
Li, W.1
Yue, H.H.2
Valle-Cervantes, S.3
Qin, S.J.4
-
30
-
-
33847162850
-
A systematic approach for soft sensor development
-
Lin B., Recke B., Knudsen J.K.H., Jorgensen S.B. A systematic approach for soft sensor development. Computers and Chemical Engineering 2007, 31(5-6):419-425.
-
(2007)
Computers and Chemical Engineering
, vol.31
, Issue.5-6
, pp. 419-425
-
-
Lin, B.1
Recke, B.2
Knudsen, J.K.H.3
Jorgensen, S.B.4
-
31
-
-
34147222905
-
On-line soft sensor for polyethylene process with multiple production grades
-
Liu J. On-line soft sensor for polyethylene process with multiple production grades. Control Engineering Practice 2007, 15(7):769-778.
-
(2007)
Control Engineering Practice
, vol.15
, Issue.7
, pp. 769-778
-
-
Liu, J.1
-
32
-
-
84888754031
-
-
John Wiley & Sons, Inc., Hoboken, New Jersey
-
Liu W., Principe J.C., Haykin S. Kernel adaptive filtering: A comprehensive introduction 2010, John Wiley & Sons, Inc., Hoboken, New Jersey.
-
(2010)
Kernel adaptive filtering: A comprehensive introduction
-
-
Liu, W.1
Principe, J.C.2
Haykin, S.3
-
33
-
-
79961019569
-
Modeling of fermentation processes using online kernel learning algorithm
-
Liu Y., Yang D., Wang H., Li P. Modeling of fermentation processes using online kernel learning algorithm. Proceedings of the 17th IFAC World Congress, Vol. 17 2008, 9679-9684.
-
(2008)
Proceedings of the 17th IFAC World Congress, Vol. 17
, pp. 9679-9684
-
-
Liu, Y.1
Yang, D.2
Wang, H.3
Li, P.4
-
35
-
-
0036397757
-
Intelligent control applications in the process industries
-
McAvoy T.J. Intelligent control applications in the process industries. Annual Reviews in Control 2002, 26(1):75-86.
-
(2002)
Annual Reviews in Control
, vol.26
, Issue.1
, pp. 75-86
-
-
McAvoy, T.J.1
-
37
-
-
0032044750
-
Recursive PLS algorithms for adaptive data modeling
-
Qin S.J. Recursive PLS algorithms for adaptive data modeling. Computers and Chemical Engineering 1998, 22(4-5):503-514.
-
(1998)
Computers and Chemical Engineering
, vol.22
, Issue.4-5
, pp. 503-514
-
-
Qin, S.J.1
-
39
-
-
0030217795
-
Decentralized control of the Tennessee Eastman Challenge Process
-
Ricker N.L. Decentralized control of the Tennessee Eastman Challenge Process. Journal of Process Control 1996, 6(4):205-221.
-
(1996)
Journal of Process Control
, vol.6
, Issue.4
, pp. 205-221
-
-
Ricker, N.L.1
-
40
-
-
32944462016
-
Mutual information for the selection of relevant variables in spectrometric nonlinear modelling
-
Rossi F., Lendasse A., François D., Wertz V., Verleysen M. Mutual information for the selection of relevant variables in spectrometric nonlinear modelling. Chemometrics and Intelligent Laboratory Systems 2006, 80(2):215-226.
-
(2006)
Chemometrics and Intelligent Laboratory Systems
, vol.80
, Issue.2
, pp. 215-226
-
-
Rossi, F.1
Lendasse, A.2
François, D.3
Wertz, V.4
Verleysen, M.5
-
41
-
-
84857548668
-
Methods for plant data-based process modeling in soft-sensor development
-
Slišković D., Grbić R., Hocenski Ž. Methods for plant data-based process modeling in soft-sensor development. Automatika 2011, 52(4):306-318.
-
(2011)
Automatika
, vol.52
, Issue.4
, pp. 306-318
-
-
Slišković, D.1
Grbić, R.2
Hocenski, Ž.3
-
45
-
-
21444433386
-
On-line estimation of concentration parameters in fermentation processes
-
Xiong Z., Huang G., Shao H. On-line estimation of concentration parameters in fermentation processes. Journal of Zhejiang University Science B 2005, 6(6):530-534.
-
(2005)
Journal of Zhejiang University Science B
, vol.6
, Issue.6
, pp. 530-534
-
-
Xiong, Z.1
Huang, G.2
Shao, H.3
-
46
-
-
2342567014
-
Soft sensing modeling based on support vector machine and Bayesian model selection
-
Yan W., Shao H., Wang X. Soft sensing modeling based on support vector machine and Bayesian model selection. Computers and Chemical Engineering 2004, 28(8):1489-1498.
-
(2004)
Computers and Chemical Engineering
, vol.28
, Issue.8
, pp. 1489-1498
-
-
Yan, W.1
Shao, H.2
Wang, X.3
-
47
-
-
47549099484
-
Multimode process monitoring with bayesian inference-based finite Gaussian mixture models
-
Yu J., Qin S.J. Multimode process monitoring with bayesian inference-based finite Gaussian mixture models. AIChE Journal 2008, 54(7):1811-1829.
-
(2008)
AIChE Journal
, vol.54
, Issue.7
, pp. 1811-1829
-
-
Yu, J.1
Qin, S.J.2
|