Application of Generative Adversarial Network for the Prediction of Gasoline Properties
Near-infrared (NIR) spectroscopy has been widely used to predict the gasoline properties that are difficult to measure online during gasoline blending. NIR models should be prepared in advance to apply this technique successfully. Obtaining a high-accuracy NIR model in practice is hard because abund...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2020-08-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/11093 |