| 1 |
Illumination correction of dyed fabrics method using rotation forest-based ensemble particle swarm optimization and sparse least squares support vector regression
Zhou ZY, Gao X, Zhu ZF, Hu XD
Color Research and Application, 44(1), 73, 2019 |
| 2 |
Modeling of subway indoor air quality using Gaussian process regression
Liu HB, Yang C, Huang MZ, Wang DS, Yoo C
Journal of Hazardous Materials, 359, 266, 2018 |
| 3 |
Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression
Zhu BZ, Han D, Wang P, Wu ZC, Zhang T, Wei YM
Applied Energy, 191, 521, 2017 |
| 4 |
A robust localized soft sensor for particulate matter modeling in Seoul metro systems
Liu HB, Yoo C
Journal of Hazardous Materials, 305, 209, 2016 |
| 5 |
A novel unified correlation model using ensemble support vector regression for prediction of flooding velocity in randomly packed towers
Liu Y, Li C, Gao Z
Journal of Industrial and Engineering Chemistry, 20(3), 1109, 2014 |
| 6 |
Integrated soft sensor using just-in-time support vector regression and probabilistic analysis for quality prediction of multi-grade processes
Liu Y, Chen JH
Journal of Process Control, 23(6), 793, 2013 |
| 7 |
Real-time product quality control for batch processes based on stacked least-squares support vector regression models
Zhang SN, Wang FL, He DK, Jia RD
Computers & Chemical Engineering, 36, 217, 2012 |
| 8 |
Adaptive local kernel-based learning for soft sensor modeling of nonlinear processes
Chen K, Ji J, Wang HQ, Liu Y, Song ZH
Chemical Engineering Research & Design, 89(10A), 2117, 2011 |
