Industrial Semi-Supervised Dynamic Soft-Sensor Modeling Approach Based on Deep Relevant Representation Learning
Soft sensors based on deep learning have been growing in industrial process applications, inferring hard-to-measure but crucial quality-related variables. However, applications may present strong non-linearity, dynamicity, and a lack of labeled data. To deal with the above-cited problems, the extrac...
Main Authors: | Jean Mário Moreira de Lima, Fábio Meneghetti Ugulino de Araújo |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/10/3430 |
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