-
2
-
-
2942558590
-
A new data-based methodology for nonlinear process modeling
-
Cheng C., Chiu M.S. A new data-based methodology for nonlinear process modeling. Chemical Engineering Science 2004, 59:2801-2810.
-
(2004)
Chemical Engineering Science
, vol.59
, pp. 2801-2810
-
-
Cheng, C.1
Chiu, M.S.2
-
3
-
-
0346250790
-
Practical selection of SVM parameters and noise estimation for SVM regression
-
Cherkassky V., Ma Y. Practical selection of SVM parameters and noise estimation for SVM regression. Neural Networks 2004, 17:113-126.
-
(2004)
Neural Networks
, vol.17
, pp. 113-126
-
-
Cherkassky, V.1
Ma, Y.2
-
5
-
-
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, 55:1754-1765.
-
(2009)
AIChE Journal
, vol.55
, pp. 1754-1765
-
-
Fujiwara, K.1
Kano, M.2
Hasebe, S.3
Takinami, A.4
-
6
-
-
33846087392
-
Online trained support vector machines-based generalized predictive control of non-linear systems
-
Iplikci S. Online trained support vector machines-based generalized predictive control of non-linear systems. International Journal of Adaptive Control and Signal Processing 2006, 20:599-621.
-
(2006)
International Journal of Adaptive Control and Signal Processing
, vol.20
, pp. 599-621
-
-
Iplikci, S.1
-
7
-
-
79954599740
-
Local learning-based adaptive soft sensor for catalyst activation prediction
-
Kadlec P., Gabrys B. Local learning-based adaptive soft sensor for catalyst activation prediction. AIChE Journal 2010, 57:1288-1301.
-
(2010)
AIChE Journal
, vol.57
, pp. 1288-1301
-
-
Kadlec, P.1
Gabrys, B.2
-
10
-
-
58449118276
-
Development of a new soft sensor method using independent component analysis and partial least squares
-
Kaneko H., Arakawa M., Funatsu K. Development of a new soft sensor method using independent component analysis and partial least squares. AIChE Journal 2009, 55:87-98.
-
(2009)
AIChE Journal
, vol.55
, pp. 87-98
-
-
Kaneko, H.1
Arakawa, M.2
Funatsu, K.3
-
11
-
-
79955476246
-
Novel soft sensor method for detecting completion of transition in industrial polymer processes
-
Kaneko H., Arakawa M., Funatsu K. Novel soft sensor method for detecting completion of transition in industrial polymer processes. Computers & Chemical Engineering 2011, 35:1135-1142.
-
(2011)
Computers & Chemical Engineering
, vol.35
, pp. 1135-1142
-
-
Kaneko, H.1
Arakawa, M.2
Funatsu, K.3
-
12
-
-
79959784751
-
Maintenance-free soft sensor models with time difference of process variables
-
Kaneko H., Funatsu K. Maintenance-free soft sensor models with time difference of process variables. Chemometrics and Intelligent Laboratory Systems 2011, 107:312-317.
-
(2011)
Chemometrics and Intelligent Laboratory Systems
, vol.107
, pp. 312-317
-
-
Kaneko, H.1
Funatsu, K.2
-
13
-
-
80055094175
-
A soft sensor method based on values predicted from multiple intervals of time difference for improvement and estimation of prediction accuracy
-
Kaneko H., Funatsu K. A soft sensor method based on values predicted from multiple intervals of time difference for improvement and estimation of prediction accuracy. Chemometrics and Intelligent Laboratory Systems 2011, 109:197-206.
-
(2011)
Chemometrics and Intelligent Laboratory Systems
, vol.109
, pp. 197-206
-
-
Kaneko, H.1
Funatsu, K.2
-
14
-
-
80052838846
-
Development of soft sensor models based on time difference of process variables with accounting for nonlinear relationship
-
Kaneko H., Funatsu K. Development of soft sensor models based on time difference of process variables with accounting for nonlinear relationship. Industrial and Engineering Chemistry Research 2011, 50:10643-10651.
-
(2011)
Industrial and Engineering Chemistry Research
, vol.50
, pp. 10643-10651
-
-
Kaneko, H.1
Funatsu, K.2
-
15
-
-
84875311589
-
Automatic determination method based on cross-validation for optimal intervals of time difference
-
Kaneko H., Funatsu K. Automatic determination method based on cross-validation for optimal intervals of time difference. Journal of Chemical Engineering of Japan 2013, 46:1-7.
-
(2013)
Journal of Chemical Engineering of Japan
, vol.46
, pp. 1-7
-
-
Kaneko, H.1
Funatsu, K.2
-
16
-
-
84872918863
-
Discussion on time difference models and intervals of time difference for application of soft sensors
-
Kaneko H., Funatsu K. Discussion on time difference models and intervals of time difference for application of soft sensors. Industrial and Engineering Chemistry Research 2013, 52:1322-1334.
-
(2013)
Industrial and Engineering Chemistry Research
, vol.52
, pp. 1322-1334
-
-
Kaneko, H.1
Funatsu, K.2
-
17
-
-
84879309312
-
Classification of the degradation of soft sensor models and discussion on adaptive models
-
Kaneko H., Funatsu K. Classification of the degradation of soft sensor models and discussion on adaptive models. AIChE Journal 2013, 59:2339-2347.
-
(2013)
AIChE Journal
, vol.59
, pp. 2339-2347
-
-
Kaneko, H.1
Funatsu, K.2
-
18
-
-
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. Computers & Chemical Engineering 2008, 32:12-24.
-
(2008)
Computers & Chemical Engineering
, vol.32
, pp. 12-24
-
-
Kano, M.1
Nakagawa, Y.2
-
19
-
-
81755166220
-
Estimation of active pharmaceutical ingredients content using locally weighted partial least squares and statistical wavelength selection
-
Kim S., Kano M., Nakagawa H., Hasebe S. Estimation of active pharmaceutical ingredients content using locally weighted partial least squares and statistical wavelength selection. International Journal of Pharmaceutics 2011, 421:269-274.
-
(2011)
International Journal of Pharmaceutics
, vol.421
, pp. 269-274
-
-
Kim, S.1
Kano, M.2
Nakagawa, H.3
Hasebe, S.4
-
20
-
-
72149085992
-
An accumulative error based adaptive design of experiments for offline metamodeling
-
Li G., Aute V., Azarm S. An accumulative error based adaptive design of experiments for offline metamodeling. Structural and Multidisciplinary Optimization 2010, 40:137-155.
-
(2010)
Structural and Multidisciplinary Optimization
, vol.40
, pp. 137-155
-
-
Li, G.1
Aute, V.2
Azarm, S.3
-
21
-
-
0141765796
-
Accurate on-line support vector regression
-
Ma J., Theliler J., Perkins S. Accurate on-line support vector regression. Neural Computation 2003, 15:2683-2703.
-
(2003)
Neural Computation
, vol.15
, pp. 2683-2703
-
-
Ma, J.1
Theliler, J.2
Perkins, S.3
-
22
-
-
0026169941
-
On-line inference of polymer properties in an industrial polyethylene reactor
-
McAuley K.B., MacGregor J.F. On-line inference of polymer properties in an industrial polyethylene reactor. AIChE Journal 1991, 37:825-835.
-
(1991)
AIChE Journal
, vol.37
, pp. 825-835
-
-
McAuley, K.B.1
MacGregor, J.F.2
-
23
-
-
58349104545
-
Online - SVR for short-term traffic flow prediction under typical and atypical traffic conditions
-
Neto M.C., Jeong Y.S., Jeong M.K., Han L.D. Online - SVR for short-term traffic flow prediction under typical and atypical traffic conditions. Expert Systems with Applications 2009, 36:6164-6173.
-
(2009)
Expert Systems with Applications
, vol.36
, pp. 6164-6173
-
-
Neto, M.C.1
Jeong, Y.S.2
Jeong, M.K.3
Han, L.D.4
-
24
-
-
11144244974
-
Prediction of pellet properties for an industrial bimodal high-density polyethylene process with Ziegler-Natta catalysts
-
Oh S.J., Lee J., Park S. Prediction of pellet properties for an industrial bimodal high-density polyethylene process with Ziegler-Natta catalysts. Industrial and Engineering Chemistry Research 2005, 44:8-20.
-
(2005)
Industrial and Engineering Chemistry Research
, vol.44
, pp. 8-20
-
-
Oh, S.J.1
Lee, J.2
Park, S.3
-
26
-
-
78349310408
-
Online support vector regression with varying parameters for time-dependent data
-
Omitaomu O.A., Jeong M.K., Badiru A.B. Online support vector regression with varying parameters for time-dependent data. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 2011, 41:191-197.
-
(2011)
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
, vol.41
, pp. 191-197
-
-
Omitaomu, O.A.1
Jeong, M.K.2
Badiru, A.B.3
-
27
-
-
0032044750
-
Recursive PLS algorithms for adaptive data modelling
-
Qin S.J. Recursive PLS algorithms for adaptive data modelling. Computers & Chemical Engineering 1998, 22:503-514.
-
(1998)
Computers & Chemical Engineering
, vol.22
, pp. 503-514
-
-
Qin, S.J.1
-
28
-
-
0036639869
-
Scalable techniques from on parametric statistics for real time robot learning
-
Schaal S., Atkeson C.G., Vijayakumar S. Scalable techniques from on parametric statistics for real time robot learning. Applied Intelligence 2002, 17:49-60.
-
(2002)
Applied Intelligence
, vol.17
, pp. 49-60
-
-
Schaal, S.1
Atkeson, C.G.2
Vijayakumar, S.3
-
29
-
-
84868224530
-
Multiway Gaussian mixture model based adaptive kernel partial least squares regression method for soft sensor estimation and reliable quality prediction of nonlinear multiphase batch processes
-
Yu J. Multiway Gaussian mixture model based adaptive kernel partial least squares regression method for soft sensor estimation and reliable quality prediction of nonlinear multiphase batch processes. Industrial and Engineering Chemistry Research 2012, 51:13227-13237.
-
(2012)
Industrial and Engineering Chemistry Research
, vol.51
, pp. 13227-13237
-
-
Yu, J.1
-
30
-
-
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. Computers & Chemical Engineering 2012, 41:134-144.
-
(2012)
Computers & Chemical Engineering
, vol.41
, pp. 134-144
-
-
Yu, J.1
|