Soft Sensor Based on Fusion Modeling with the Balanced Spatio-temporal Feature Network

In recent years, multi－feature integrated method based on deep neutral network has been widely applied to soft sensor． However, existing methods rarely consider the independence between feature extracted so that same features can be affected or even submerged．In this paper, a stacked variational aut...

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Vydané v:	Chinese Control Conference s. 6851 - 6856
Hlavní autori:	Tang, Xiaochu, Wang, Yiting, Tao, Na, Yu, Yang
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	Technical Committee on Control Theory, Chinese Association of Automation 28.07.2025
Predmet:	Accuracy Autoencoders BST-network Convolution convolution neural network Correlation Decoding Feature extraction Long short term memory long short-term memory network Neural networks soft sensor Soft sensors stacked variational autoencoder Time series analysis
ISSN:	1934-1768
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