| 1 |
Novel Nonlinear Autoregression with External Input Integrating PCA-WD and Its Application to a Dynamic Soft Sensor
Zhang BL, Han YM, Yu B, Geng ZQ
Industrial & Engineering Chemistry Research, 59(35), 15697, 2020 |
| 2 |
An optimized long short-term memory network based fault diagnosis model for chemical processes
Han YM, Ding N, Geng ZQ, Wang Z, Chu C
Journal of Process Control, 92, 161, 2020 |
| 3 |
A fault detection method based on horizontal visibility graph-integrated complex networks: Application to complex chemical processes
Geng ZQ, Wang Z, Hu HX, Han YM, Lin XY, Zhong YH
Canadian Journal of Chemical Engineering, 97(5), 1129, 2019 |
| 4 |
Energy efficiency evaluation and energy saving based on DEA integrated affinity propagation clustering: Case study of complex petrochemical industries
Geng ZQ, Zeng RF, Han YM, Zhong YH, Fu H
Energy, 179, 863, 2019 |
| 5 |
A novel DEACM integrating affinity propagation for performance evaluation and energy optimization modeling: Application to complex petrochemical industries
Han YM, Long C, Geng ZQ, Zhu QX, Zhong YH
Energy Conversion and Management, 183, 349, 2019 |
| 6 |
Production capacity analysis and energy optimization of complex petrochemical industries using novel extreme learning machine integrating affinity propagation
Han YM, Wu H, Jia MH, Geng ZQ, Zhong YH
Energy Conversion and Management, 180, 240, 2019 |
| 7 |
Production optimization and energy saving of complex chemical processes using novel competing evolutionary membrane algorithm: Emphasis on ethylene cracking
Cui YF, Han YM, Geng ZQ, Zhu QX, Fan JZ
Energy Conversion and Management, 196, 311, 2019 |
| 8 |
A novel self-organizing cosine similarity learning network: An application to production prediction of petrochemical systems
Geng ZQ, Li YA, Han YM, Zhu QX
Energy, 142, 400, 2018 |
| 9 |
A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction
Xu Y, Zhang MQ, Ye LL, Zhu QX, Geng ZQ, He YL, Han YM
Energy, 164, 137, 2018 |
| 10 |
Production prediction and energy-saving model based on Extreme Learning Machine integrated ISM-AHP: Application in complex chemical processes
Geng ZQ, Li HD, Zhu QX, Han YM
Energy, 160, 898, 2018 |
