Supervised Multi-Layer Conditional Variational Auto-Encoder for Process Modeling and Soft Sensor

Variational auto-encoders (VAE) have been widely used in process modeling due to the ability of deep feature extraction and noise robustness. However, the construction of a supervised VAE model still faces huge challenges. The data generated by the existing supervised VAE models are unstable and unc...

Descripción completa

Detalles Bibliográficos
Autores principales: Tang, Xiaochu, Yan, Jiawei, Li, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675267/
https://www.ncbi.nlm.nih.gov/pubmed/38005559
http://dx.doi.org/10.3390/s23229175

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675267/
https://www.ncbi.nlm.nih.gov/pubmed/38005559
http://dx.doi.org/10.3390/s23229175

Ejemplares similares