A review of just‐in‐time learning‐based soft sensor in industrial process

Data‐driven soft sensing approaches have been a hot research field for decades and are increasingly used in industrial processes due to their advantages of easy implementation and high efficiency. However, nonlinear and time‐varying problems widely exist in practical industrial processes. Just‐in‐ti...

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Veröffentlicht in:	Canadian journal of chemical engineering 2024-05, Vol.102 (5), p.1884-1898
Hauptverfasser:	Sheng, Weiwei, Qian, Jinchuan, Song, Zhihuan, Zhang, Xinmin
Format:	Artikel
Sprache:	eng
Schlagworte:	data‐driven modelling industrial process just‐in‐time learning Learning soft sensing
Online-Zugang:	Volltext
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