共 15 条
- [1] Ren H, Ren Z N., Research on the coordination of stage lamps of cultural complex based on particle swarm optimization, 2020 International Conference on Culture-oriented Science & Technology, pp. 423-428, (2020)
- [2] Diaz P, Salas J C, Cipriano A, Et al., Random forest model predictive control for paste thickening, Minerals Engineering, 163, (2021)
- [3] Chai T Y, Jia Y, Li H B, Et al., An intelligent switching control for a mixed separation thickener process, Control Engineering Practice, 57, pp. 61-71, (2016)
- [4] Yuan Z L, He R Z, Yao C, Et al., Online reinforcement learning control algorithm for concentration of thickener underflow, Acta Automatica Sinica, 47, 7, (2021)
- [5] Nunez F, Langarica S, Diaz P, Et al., Neural network-based model predictive control of a paste thickener over an industrial Internet platform, IEEE Transactions on Industrial Informatics, 16, 4, pp. 2859-2867, (2020)
- [6] Kholisa B, Fester V G, Haldenwang R., Prediction of filtrate suspended solids and solids capture based on operating parameters for belt filter press, Chemical Engineering Research and Design, 134, pp. 268-276, (2018)
- [7] Stickland A D, Skinner S J, Cavalida R G, Et al., Optimisation of filter design and operation for wastewater treatment sludge, Separation and Purification Technology, 198, pp. 31-37, (2018)
- [8] Galvez E D, Cruz R, Robles P A, Et al., Optimization of dewatering systems for mineral processing, Minerals Engineering, 63, pp. 110-117, (2014)
- [9] Jia R D, Zhang B, He D K, Et al., Data-driven-based self-healing control of abnormal feeding conditions in thickening-dewatering process, Minerals Engineering, 146, (2020)
- [10] Zhang H L, Wang F L, He D K, Et al., Data driven coordinated optimization control of thickening-filter process, Control and Decision, 36, 5, pp. 1095-1100, (2021)