Pseudo-Labeling Optimization Based Ensemble Semi-Supervised Soft Sensor in the Process Industry

Pseudo-Labeling Optimization Based Ensemble Semi-Supervised Soft Sensor in the Process Industry

Nowadays, soft sensor techniques have become promising solutions for enabling real-time estimation of difficult-to-measure quality variables in industrial processes. However, labeled data are often scarce in many real-world applications, which poses a significant challenge when building accurate sof...

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Bibliographic Details
Main Authors:	Youwei Li, Huaiping Jin, Shoulong Dong, Biao Yang, Xiangguang Chen
Format:	Article
Language:	English
Published:	MDPI AG 2021-12-01
Series:	Sensors
Subjects:	soft sensor unlabeled data label scarcity semi-supervised learning ensemble learning pseudo labeling
Online Access:	https://www.mdpi.com/1424-8220/21/24/8471

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