-
3
-
-
79958110335
-
Modelling, validation, and control of an industrial fuel gas blending system
-
Muller CJ, Craig IK, Ricker NL. Modelling, validation, and control of an industrial fuel gas blending system. J Process Control. 2011;21:852-860.
-
(2011)
J Process Control.
, vol.21
, pp. 852-860
-
-
Muller, C.J.1
Craig, I.K.2
Ricker, N.L.3
-
5
-
-
35548968908
-
Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry
-
Kano M, Nakagawa Y. Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry. Comput Chem Eng. 2008;32:12-24.
-
(2008)
Comput Chem Eng.
, vol.32
, pp. 12-24
-
-
Kano, M.1
Nakagawa, Y.2
-
6
-
-
67349089877
-
Data-driven soft sensors in the process industry
-
Kadlec P, Gabrys B, Strandt S. Data-driven soft sensors in the process industry. Comput Chem Eng. 2009;33:795-814.
-
(2009)
Comput Chem Eng.
, vol.33
, pp. 795-814
-
-
Kadlec, P.1
Gabrys, B.2
Strandt, S.3
-
7
-
-
0037411806
-
Exploring process data with the use of robust outlier detection algorithms
-
Chiang LH, Pell RJ, Seasholtz MB. Exploring process data with the use of robust outlier detection algorithms. J Process Control. 2003;13:437-449.
-
(2003)
J Process Control.
, vol.13
, pp. 437-449
-
-
Chiang, L.H.1
Pell, R.J.2
Seasholtz, M.B.3
-
8
-
-
2442589699
-
Online outlier detection and data cleaning
-
Liu H, Shah SL, Jiang W. Online outlier detection and data cleaning. Comput Chem Eng. 2004;28:1635-1647.
-
(2004)
Comput Chem Eng.
, vol.28
, pp. 1635-1647
-
-
Liu, H.1
Shah, S.L.2
Jiang, W.3
-
9
-
-
57249097849
-
Dealing with irregular data in soft sensors: Bayesian method and comparative study
-
Khatibisepehr S, Huang B. Dealing with irregular data in soft sensors: Bayesian method and comparative study. Ind Eng Chem Res. 2008;47:8713-8723.
-
(2008)
Ind Eng Chem Res.
, vol.47
, pp. 8713-8723
-
-
Khatibisepehr, S.1
Huang, B.2
-
10
-
-
84946031884
-
Procedures for detecting outlying observations in samples
-
Grubbs FE. Procedures for detecting outlying observations in samples. Technometrics. 1969;11:1-21.
-
(1969)
Technometrics.
, vol.11
, pp. 1-21
-
-
Grubbs, F.E.1
-
11
-
-
72049098542
-
Improvement of identification of blast furnace ironmaking process by outlier detection and missing value imputation
-
Zeng J, Gao C. Improvement of identification of blast furnace ironmaking process by outlier detection and missing value imputation. J Process Control. 2009;19:1519-1528.
-
(2009)
J Process Control.
, vol.19
, pp. 1519-1528
-
-
Zeng, J.1
Gao, C.2
-
12
-
-
79960836522
-
Integrating independent component analysis and local outlier factor for plant-wide process monitoring
-
Lee J, Kang B, Kang S. Integrating independent component analysis and local outlier factor for plant-wide process monitoring. J Process Control. 2011;21:1519-1528.
-
(2011)
J Process Control.
, vol.21
, pp. 1519-1528
-
-
Lee, J.1
Kang, B.2
Kang, S.3
-
13
-
-
7544223741
-
A survey of outlier detection methodologies
-
Hodge VJ, Austin J. A survey of outlier detection methodologies. Artifi Intelli Rev. 2004;22:85-126.
-
(2004)
Artifi Intelli Rev.
, vol.22
, pp. 85-126
-
-
Hodge, V.J.1
Austin, J.2
-
17
-
-
84859392648
-
A bayesian inference based two-stage support vector regression framework for soft sensor development in batch bioprocesses
-
Yu J. A bayesian inference based two-stage support vector regression framework for soft sensor development in batch bioprocesses. Comput Chem Eng. 2012;41:134-144.
-
(2012)
Comput Chem Eng.
, vol.41
, pp. 134-144
-
-
Yu, J.1
-
18
-
-
33845323774
-
Detecting anomalies in cross-classified streams: A Bayesian approach
-
Agarwal D. Detecting anomalies in cross-classified streams: A Bayesian approach. Knowl Inform Syst. 2006;11:29-44.
-
(2006)
Knowl Inform Syst.
, vol.11
, pp. 29-44
-
-
Agarwal, D.1
-
19
-
-
0031169206
-
Outliers in statistical pattern recognition and an application to automatic chromosome classification
-
Ritter G, Gallegos MT. Outliers in statistical pattern recognition and an application to automatic chromosome classification. Pattern Recogn Lett. 1997;18:525-539.
-
(1997)
Pattern Recogn Lett.
, vol.18
, pp. 525-539
-
-
Ritter, G.1
Gallegos, M.T.2
-
21
-
-
0346245747
-
Bayesian approach to outlier detection in multivariate normal samples and linear models
-
Varbanov A. Bayesian approach to outlier detection in multivariate normal samples and linear models. Communi Stat Theory Methods. 1998;27:547-557.
-
(1998)
Communi Stat Theory Methods.
, vol.27
, pp. 547-557
-
-
Varbanov, A.1
-
22
-
-
85053486234
-
Outlier detection and editing procedures for continuous multivariate data
-
Ghosh-Dastidar B, Schafer JL. Outlier detection and editing procedures for continuous multivariate data. J Offic Stat. 2006;22:487-506.
-
(2006)
J Offic Stat.
, vol.22
, pp. 487-506
-
-
Ghosh-Dastidar, B.1
Schafer, J.L.2
-
24
-
-
0001025418
-
Bayesian interpolation
-
MacKay DJC. Bayesian interpolation. Neural Comput. 1992;4:415-447.
-
(1992)
Neural Comput.
, vol.4
, pp. 415-447
-
-
MacKay, D.J.C.1
-
25
-
-
0001441372
-
Probable networks and plausible predictions - a review of practical bayesian methods for supervised neural networks
-
MacKay DJC. Probable networks and plausible predictions - a review of practical bayesian methods for supervised neural networks. Netw Comput Neural Syst. 1995;6:469-505.
-
(1995)
Netw Comput Neural Syst.
, vol.6
, pp. 469-505
-
-
MacKay, D.J.C.1
-
26
-
-
39149097848
-
Variational posterior distribution approximation in Bayesian super resolution reconstruction of multispectral images
-
Molina R, Vega M, Mateos J, Katsaggelos AK. Variational posterior distribution approximation in Bayesian super resolution reconstruction of multispectral images. Appl Comput Harmonic Anal. 2008;24:251-267.
-
(2008)
Appl Comput Harmonic Anal.
, vol.24
, pp. 251-267
-
-
Molina, R.1
Vega, M.2
Mateos, J.3
Katsaggelos, A.K.4
-
28
-
-
0034271876
-
The evidence framework applied to support vector machines
-
Kwok JT. The evidence framework applied to support vector machines. IEEE Trans Neural Network. 2000;11:1162-1173.
-
(2000)
IEEE Trans Neural Network.
, vol.11
, pp. 1162-1173
-
-
Kwok, J.T.1
-
29
-
-
0037695279
-
-
River Edge, NJ:World Scientific
-
Suykens JAK, Gestel TV, Brabanter JD, Moor BD, Vandewalle J. Least Squares Support Vector Machines. River Edge, NJ:World Scientific, 2002.
-
(2002)
Least Squares Support Vector Machines
-
-
Suykens, J.A.K.1
Gestel, T.V.2
Brabanter, J.D.3
Moor, B.D.4
Vandewalle, J.5
-
32
-
-
0000597408
-
Comparison of approximate methods for handling hyperparameters
-
MacKay DJC. Comparison of approximate methods for handling hyperparameters. Neural Comput. 1999;11:1035-1068.
-
(1999)
Neural Comput.
, vol.11
, pp. 1035-1068
-
-
MacKay, D.J.C.1
-
34
-
-
40749117689
-
A continuous stirred tank heater simulation model with applications
-
Thornhill NF, Patwardhan SC, Shah SL. A continuous stirred tank heater simulation model with applications. J Process Control. 2008;18:347-360.
-
(2008)
J Process Control.
, vol.18
, pp. 347-360
-
-
Thornhill, N.F.1
Patwardhan, S.C.2
Shah, S.L.3
-
35
-
-
84874540798
-
-
Multiple ARX model based identification for switching/nonlinear systems with EM algorithm. Master's thesis, University of Alberta; Edmonton, Canada
-
Jin X. Multiple ARX model based identification for switching/nonlinear systems with EM algorithm. Master's thesis, University of Alberta; Edmonton, Canada, 2010.
-
(2010)
-
-
Jin, X.1
|