| 1 |
Application of convolutional neural networks to large-scale naphtha pyrolysis kinetic modeling
Hua F, Fang Z, Qiu T
Chinese Journal of Chemical Engineering, 26(12), 2562, 2018 |
| 2 |
Molecular characterization of petroleum fractions using state space representation and its application for predicting naphtha pyrolysis product distributions
Mei H, Cheng H, Wang ZL, Li JL
Chemical Engineering Science, 164, 81, 2017 |
| 3 |
Multi-Objective Optimization of Pseudo-Dynamic Operation of Naphtha Pyrolysis by a Surrogate Model
Jin YK, Li JL, Du WL, Qian F
Chemical Engineering & Technology, 38(5), 900, 2015 |
| 4 |
High-selective pyrolysis of naphtha in the fast-mixing reactor
Ktalkherman MG, Namyatov IG, Emel'kim VA, Lomanovich KA
Fuel Processing Technology, 106, 48, 2013 |
| 5 |
Applications of Shannon's Entropy Theory to Naphtha Pyrolysis Simulation
Zhang L, Chen BZ
Chemical Engineering & Technology, 35(2), 281, 2012 |
| 6 |
Multi-objective optimization for the periodic operation of the naphtha pyrolysis process using a new parallel hybrid algorithm combining NSGA-II with SQP
Gao XD, Chen BZ, He XR, Qiu T, Li JC, Wang CM, Zhang LJ
Computers & Chemical Engineering, 32(11), 2801, 2008 |
| 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 |
The kinetic model of thermal cracking for olefins production
Belohlav Z, Zamostny P, Herink T
Chemical Engineering and Processing, 42(6), 461, 2003 |
| 9 |
Triethyl phosphite additive-based fouling inhibition studies
Kumar S
Industrial & Engineering Chemistry Research, 38(4), 1364, 1999 |
