Modeling of biodiesel production using optimization designs from literature: aiming to reduce the laboratory workload
This study explores non-linear tree-based learning algorithms for modeling biodiesel reactions. A dataset of 3038 reaction samples from 111 published studies was compiled, each optimizing distinct biodiesel reaction systems. Key operational parameters were selected to represent the dataset's di...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-10-01
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| Series: | Fuel Processing Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S037838202500089X |
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