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...

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Detalles Bibliográficos
Autores principales: Moreira de Lima, Jean Mário, Ugulino de Araújo, Fábio Meneghetti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156853/
https://www.ncbi.nlm.nih.gov/pubmed/34069123
http://dx.doi.org/10.3390/s21103430

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156853/
https://www.ncbi.nlm.nih.gov/pubmed/34069123
http://dx.doi.org/10.3390/s21103430

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