Predicting product quality and optimising process design using dynamic time warping in batch processes with varying batch times
In this study, the proposed method combines dynamic time warping with a genetic algorithm, enabling the construction of a robust machine learning model tailored for batch process data characterised by diverse batch and sampling times. This comprehensive model incorporates crucial factors, including...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-06-01
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| Series: | Case Studies in Chemical and Environmental Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666016424000495 |