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Wenjiang Song (宋文江)
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Modeling the hydrocracking process with deep neural networks
W Song, V Mahalec, J Long, M Yang, F Qian
Industrial & Engineering Chemistry Research 59 (7), 3077-3090, 2020
342020
Adaptive weighted hybrid modeling of hydrocracking process and its operational optimization
W Song, W Du, C Fan, M Yang, F Qian
Industrial & Engineering Chemistry Research 60 (9), 3617-3632, 2021
142021
Deep Bayesian slow feature extraction with application to industrial inferential modeling
C Jiang, Y Lu, W Zhong, B Huang, D Tan, W Song, F Qian
IEEE Transactions on Industrial Informatics 19 (1), 40-51, 2021
132021
A new lumped kinetic model of an industrial hydrocracking process
W Song, W Zhong, M Yang, W Du, F Qian
Chemical engineering transactions 61, 673-678, 2017
102017
Searching for robustness intervals in evolutionary robust optimization
W Du, W Song, Y Tang, Y Jin, F Qian
IEEE transactions on evolutionary computation 26 (1), 58-72, 2021
82021
A novel path-based reproduction operator for multi-objective optimization
W Song, W Du, C Fan, W Zhong, F Qian
Swarm and Evolutionary Computation 59, 100741, 2020
52020
An improved weighted optimization approach for large-scale global optimization
M Chen, W Du, W Song, C Liang, Y Tang
Complex & Intelligent Systems 8 (2), 1259-1280, 2022
32022
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Artículos 1–7