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Shiwen Xie
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Generalized predictive control for industrial processes based on neuron adaptive splitting and merging RBF neural network
S Xie, Y Xie, T Huang, W Gui, C Yang
IEEE Transactions on Industrial Electronics 66 (2), 1192-1202, 2018
762018
An integrated predictive model with an on-line updating strategy for iron precipitation in zinc hydrometallurgy
Y Xie, S Xie, XF Chen, WH Gui, C Yang, L Caccetta
Hydrometallurgy 151, 62-72, 2015
542015
Neurofuzzy-based plant-wide hierarchical coordinating optimization and control: An application to zinc hydrometallurgy plant
S Xie, Y Xie, H Ying, Z Jiang, W Gui
IEEE Transactions on Industrial Electronics 67 (3), 2207-2219, 2019
442019
On-line prediction of ferrous ion concentration in goethite process based on self-adjusting structure RBF neural network
Y Xie, J Yu, S Xie, T Huang, W Gui
Neural Networks 116, 1-10, 2019
402019
A hybrid control strategy for real-time control of the iron removal process of the zinc hydrometallurgy plants
S Xie, Y Xie, H Ying, W Gui, C Yang
IEEE Transactions on Industrial Informatics 14 (12), 5278-5288, 2018
372018
Surface defect detection algorithm based on feature-enhanced YOLO
Y Xie, W Hu, S Xie, L He
Cognitive Computation 15 (2), 565-579, 2023
332023
Fuzzy association rule-based set-point adaptive optimization and control for the flotation process
M Ai, Y Xie, S Xie, J Zhang, W Gui
Neural Computing and Applications 32, 14019-14029, 2020
302020
Semi-supervised discriminative projective dictionary pair learning and its application to industrial process
Z Deng, X Chen, S Xie, Y Xie, H Zhang
IEEE Transactions on Industrial Informatics 19 (3), 3119-3132, 2022
292022
Data-driven-based adaptive fuzzy neural network control for the antimony flotation plant
M Ai, Y Xie, S Xie, F Li, W Gui
Journal of the Franklin Institute 356 (12), 5944-5960, 2019
282019
Dynamic modeling and optimal control of goethite process based on the rate-controlling step
Y Xie, S Xie, Y Li, C Yang, W Gui
Control Engineering Practice 58, 54-65, 2017
282017
Hybrid fuzzy control for the goethite process in zinc production plant combining type-1 and type-2 fuzzy logics
S Xie, Y Xie, F Li, Z Jiang, W Gui
Neurocomputing 366, 170-177, 2019
242019
Multi-objective-based Optimization and Control for Iron Removal Process under Dynamic Environments
S Xie, Y Xie, T Huang, W Gui
IEEE Transactions on Industrial Informatics, 2020
222020
Weighted-coupling CSTR modeling and model predictive control with parameter adaptive correction for the goethite process
S Xie, Y Xie, W Gui, C Yang
Journal of Process Control 68, 254-267, 2018
202018
Optimal setting and control for iron removal process based on adaptive neural network soft-sensor
S Xie, Y Xie, F Li, C Yang, W Gui
IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (7), 2408-2420, 2018
202018
Optimization of aluminum fluoride addition in aluminum electrolysis process based on pruned sparse fuzzy neural network
J Wang, Y Xie, S Xie, X Chen
ISA transactions 133, 285-301, 2023
162023
Cooperative particle swarm optimizer with depth first search strategy for global optimization of multimodal functions
J Wang, Y Xie, S Xie, X Chen
Applied Intelligence, 1-20, 2022
162022
Distributed process monitoring based on joint mutual information and projective dictionary pair learning
Z Deng, X Chen, S Xie, Y Xie, Y Sun
Journal of Process Control 106, 130-141, 2021
152021
Shape-weighted bubble size distribution based reagent predictive control for the antimony flotation process
M Ai, Y Xie, S Xie, W Gui
Chemometrics and Intelligent Laboratory Systems 192, 103821, 2019
152019
Distributed parameter modeling and optimal control of the oxidation rate in the iron removal process
S Xie, Y Xie, C Yang, W Gui, Y Wang
Journal of Process Control 61, 47-57, 2018
132018
Coordinated optimization for the descent gradient of technical index in the iron removal process
S Xie, Y Xie, T Huang, W Gui, C Yang
IEEE Transactions on Cybernetics 48 (12), 3313-3322, 2018
122018
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