Production Capacity Prediction and Optimization in the Glycerin Purification Process: A Simulation-Assisted Few-Shot Learning Approach
Chemical process control relies on a tightly controlled, narrow range of margins for critical variables, ensuring process stability and safeguarding equipment from potential accidents. The availability of historical process data is limited to a specific setpoint of operation. This challenge raises i...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
MDPI
2024
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/45362/ https://doi.org/10.3390/pr12040661 |
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