Modelling and Optimisation of a Crude Oil Hydrotreating Process Using Neural Networks
This paper presents a study on the data-driven modelling and optimisation of a crude oil hydrotreating process using bootstrap aggregated neural networks. Hydrotreating (HDT) is a chemical process that can be widely used in crude oil refineries to remove undesirable impurities like sulphur, nitrogen...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2016-08-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/3682 |