Multi-Task Regression with Process Knowledge-Based Forest Learners in Process Industries*

Authors: Sun, Linjin, Ji, Yangjian, Peng, Tao

Source: 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) Automation Science and Engineering (CASE), 2023 IEEE 19th International Conference on. :1-6 Aug, 2023

Relation: 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)

Unsupervised feature selection using chronological fitting with Shapley Additive explanation (SHAP) for industrial time-series anomaly detection

Authors: Li, Qixuan, Ji, Yangjian, Zhu, Mingrui, Zhu, Xiaoyang, Sun, Linjin

Source: In Applied Soft Computing April 2024 155

A process knowledge-based hybrid method for univariate time series prediction with uncertain inputs in process industry

Authors: Sun, Linjin, Ji, Yangjian, Li, Qixuan, Yang, Tiannuo

Source: In Advanced Engineering Informatics April 2024 60

Chronicle knowledge-based multi-level response prediction for predictive control by forest models in process industry

Authors: Sun, Linjin, Ji, Yangjian, Zhu, Zheren, Jiang, Xiaoyu, Zhu, Xiaoyang, Zhang, Nian

Source: In Engineering Applications of Artificial Intelligence March 2024 129

Process knowledge-based random forest regression for model predictive control on a nonlinear production process with multiple working conditions

Authors: Sun, Linjin, Ji, Yangjian, Zhu, Xiaoyang, Peng, Tao

Source: In Advanced Engineering Informatics April 2022 52

A clustering-based energy consumption evaluation method for process industries with multiple energy consumption patterns.

Authors: Sun, Linjin^1,2, Ji, Yangjian^1,2, mejyj@zju.edu.cn, Sun, Zhitao^1,2, Li, Qixuan^1,2, Jin, Yingjie^1,2

Source: International Journal of Computer Integrated Manufacturing; Oct2023, Vol. 36 Issue 10, p1526-1554, 29p, 1 Color Photograph, 1 Black and White Photograph, 11 Diagrams, 14 Charts, 6 Graphs

A new predictive method supporting streaming data with hybrid recurring concept drifts in process industry.

Authors: Sun, Linjin^1,2 (AUTHOR), Ji, Yangjian^1,2 (AUTHOR) mejyj@zju.edu.cn, Zhu, Mingrui^1,2 (AUTHOR), Gu, Fu^1,2 (AUTHOR), Dai, Feng^1,2 (AUTHOR), Li, Ke³ (AUTHOR)

Source: Computers & Industrial Engineering. Nov2021, Vol. 161, pN.PAG-N.PAG. 1p.

Subject Terms: *Time series analysis, *Steel mills, Long short-term memory, Short-term memory, Online education

Geographic Terms: Jiangsu Sheng (China)