FA-SconvAE-LSTM: Feature-Aligned Stacked Convolutional Autoencoder with Long Short-Term Memory Network for Soft Sensor Modeling

The advancement of soft sensor technology has enabled the real-time estimation of critical parameters in complex industrial processes, where direct measurement through hardware sensors is often infeasible. Industrial process data typically exhibit both spatial correlations and temporal dependencies,...

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Vydané v:	Engineering applications of artificial intelligence Ročník 150; s. 110535
Hlavní autori:	Wu, Ping, Miao, Zengdi, Wang, Ke, Gao, Jinfeng, Zhang, Xujie, Lou, Siwei, Yang, Chunjie
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.06.2025
Predmet:	Feature alignment Soft sensor Spatiotemporal feature extraction Stacked convolutional autoencoder Spatiotemporal feature extraction Soft sensor Stacked convolutional autoencoder Feature alignment
ISSN:	0952-1976
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