| 1 |
Adaptive Soft Sensor Modeling Method for Time-varying and Multi-Dimensional Chemical Processes
Li LH, Dai YS
Journal of Chemical Engineering of Japan, 54(2), 63, 2021 |
| 2 |
Streaming parallel variational Bayesian supervised factor analysis for adaptive soft sensor modeling with big process data
Yang ZY, Yao L, Ge ZQ
Journal of Process Control, 85, 52, 2020 |
| 3 |
Adaptive soft sensor for quality prediction of chemical processes based on selective ensemble of local partial least squares models
Shao WM, Tian XM
Chemical Engineering Research & Design, 95, 113, 2015 |
| 4 |
Multi-model adaptive soft sensor modeling method using local learning and online support vector regression for nonlinear time-variant batch processes
Jin HP, Chen XG, Yang JW, Zhang H, Wang L, Wu L
Chemical Engineering Science, 131, 282, 2015 |
| 5 |
Supervised local and non-local structure preserving projections with application to just-in-time learning for adaptive soft sensor
Shao WM, Tian XM, Wang P
Chinese Journal of Chemical Engineering, 23(12), 1925, 2015 |
| 6 |
Adaptive soft sensor modeling framework based on just-in-time learning and kernel partial least squares regression for nonlinear multiphase batch processes
Jin HP, Chen XG, Yang JW, Wu L
Computers & Chemical Engineering, 71, 77, 2014 |
| 7 |
Adaptive soft sensor for online prediction and process monitoring based on a mixture of Gaussian process models
Grbic R, Sliskovic D, Kadlec P
Computers & Chemical Engineering, 58, 84, 2013 |
