Advanced evaluation of performance of machine learning models for soapstock splitting optimisation under uncertainty
This study proposes a computational framework for the prediction and optimisation of soapstock splitting under conditions of limited measurement data and input uncertainty. The objective was to evaluate and select the modeling approaches based on (i) data availability, (ii) model complexity, (iii) p...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Water Resources and Industry |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2212371725000186 |
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