Supervised Multi-Layer Conditional Variational Auto-Encoder for Process Modeling and Soft Sensor
Xiaochu Tang, Jiawei Yan, Yuan Li · 2023
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Description
A peer-reviewed research article from Europe PMC (2023). 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 uncontrollable due to random resampling in the latent subspace, meaning the performance of prediction is greatly weakened.
Catalog record
| CREATOR | Xiaochu Tang, Jiawei Yan, Yuan Li |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 29 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |