| Issue |
| Total 10 articles [ 키워드: PLS ] |
| No. | Article |
| 1 |
Korean Journal of Chemical Engineering, 35 (9), pp.1779-1790 (2018) Comparative study of estimation methods of NOx emission with selection of input parameters for a coal-fired boiler Kim BS, Kim TY, Park TC, et al. |
| 2 |
Korean Journal of Chemical Engineering, 32 (8), pp.1486-1497 (2015) Evaluation of multivariate statistical analyses for monitoring and prediction of processes in an seawater reverse osmosis desalination plant Kolluri SS, Esfahani IJ, Garikiparthy PSN, et al. |
| 3 |
Korean Journal of Chemical Engineering, 30 (6), pp.1187-1194 (2013) Modelling and analysis of pre-combustion CO2 capture with membranes Choi JH, Park MJ, Kim JN, et al. |
| 4 |
Korean Journal of Chemical Engineering, 30 (1), pp.11-19 (2013) Statistical data modeling based on partial least squares: Application to melt index predictions in high density polyethylene processes to achieve energy-saving operation Ahmed F, Kim LH, Yeo YK |
| 5 |
Korean Journal of Chemical Engineering, 29 (9), pp.1135-1143 (2012) Development of a novel self-validating soft sensor Liu Y, Huang D, Li Y, et al. |
| 6 |
Korean Journal of Chemical Engineering, 27 (6), pp.1675-1680 (2010) Data-driven prediction model of indoor air quality in an underground space Kim MH, Kim YS, Lim JJ, et al. |
| 7 |
Korean Journal of Chemical Engineering, 26 (2), pp.349-353 (2009) Prediction of the surface tension of binary systems based on the partial least squares method Kim SY, Kim SS, Lee BS |
| 8 |
Korean Journal of Chemical Engineering, 21 (6), pp.1087-1097 (2004) Application of Fuzzy Partial Least Squares (FPLS) Modeling Nonlinear Biological Processes Yoo CK, Bang YH, Lee IB, et al. |
| 9 |
Korean Journal of Chemical Engineering, 20 (6), pp.977-984 (2003) Application of Partial Least Squares Methods to a Terephthalic Acid Manufacturing Process for Product Quality Control Han IS, Kim M, Lee CH, et al. |
| 10 |
Korean Journal of Chemical Engineering, 17 (2), pp.184-192 (2000) Robust Nonlinear PLS Based on Neural Networks and Application to Composition Estimator for High-Purity Distillation Columns Liu J, Min K, Han C, et al. |
