| 1 |
Data-based reduced-order modeling of nonlinear twotime-scale processes
Abdullah F, Wu Z, Christofides PD
Chemical Engineering Research & Design, 166, 1, 2021 |
| 2 |
Parallel neural networks for improved nonlinear principal component analysis
Heo S, Lee JH
Computers & Chemical Engineering, 127, 1, 2019 |
| 3 |
A nonlinear principal component analysis approach for turbulent combustion composition space
Mirgolbabaei H, Echekki T, Smaoui N
International Journal of Hydrogen Energy, 39(9), 4622, 2014 |
| 4 |
Improved nonlinear PCA for process monitoring using support vector data description
Liu XQ, Li K, McAfee M, Irwin GW
Journal of Process Control, 21(9), 1306, 2011 |
| 5 |
Nonlinear dimension reduction based neural modeling for distributed parameter processes
Qi CK, Li HX
Chemical Engineering Science, 64(19), 4164, 2009 |
| 6 |
NLPCA as a diagnostic tool for control valve stiction
Zabiri H, Ramasamy M
Journal of Process Control, 19(8), 1368, 2009 |
| 7 |
Dimensionality reduction with input training neural network and its application in chemical process modelling
Zhu QX, Li CF
Chinese Journal of Chemical Engineering, 14(5), 597, 2006 |
| 8 |
Classification of process dynamics with Monte Carlo singular spectrum analysis
Jemwa GT, Aldrich C
Computers & Chemical Engineering, 30(5), 816, 2006 |
| 9 |
Principal component analysis for nonlinear model reference adaptive control
McLain RB, Henson MA
Computers & Chemical Engineering, 24(1), 99, 2000 |
