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E2AG:Entropy-Regularized Ensemble Adaptive Graph for Industrial Soft Sensor Modeling

Zhichao Chen Licheng Pan Yiran Ma Zeyu Yang Le Yao Jinchuan Qian Zhihuan Song

自动化学报（英文版）2025，Vol.12Issue(4)：745-760,16.

自动化学报（英文版）2025，Vol.12Issue(4)：745-760,16.DOI:10.1109/JAS.2024.124884

E2AG:Entropy-Regularized Ensemble Adaptive Graph for Industrial Soft Sensor Modeling

Zhichao Chen ¹Licheng Pan ¹Yiran Ma ¹Zeyu Yang ²Le Yao ³Jinchuan Qian ⁴Zhihuan Song¹

作者信息

1. State Key Laboratory of Industrial Control Technology,the College of Control Science and Enginee-ring,Zhejiang University,Hangzhou 310027,China
2. Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems,the School of Engineering,Huzhou University,Huzhou 313000,China
3. School of Mathematics,Hangzhou Normal University,Hangzhou 311121
4. Qinting Data & Intelligence Co.,Ltd.,Hangzhou 311121,China
折叠

摘要

关键词

Deep learning/graph neural networks/mirror descent/reproduced kernel hilbert space/soft sensor

Key words

Deep learning/graph neural networks/mirror descent/reproduced kernel hilbert space/soft sensor

引用本文复制引用

Zhichao Chen,Licheng Pan,Yiran Ma,Zeyu Yang,Le Yao,Jinchuan Qian,Zhihuan Song..E2AG:Entropy-Regularized Ensemble Adaptive Graph for Industrial Soft Sensor Modeling[J].自动化学报（英文版）,2025,12(4):745-760,16.

基金项目

This work was supported in part by the National Natural Science Foundation of China(NSFC)(62473103,62203169,62473121)and the Postdoctoral Science Foundation of Zhejiang Province(ZJ2023011). （NSFC）

自动化学报（英文版）

ISSN：2329-9266

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