A Novel Training Sample Selection Approach for Near- Infrared Spectroscopy Model and Its Industrial Application
Near-infrared (NIR) spectroscopy has been widely applied for the real-time measurements of quality variables, which plays an important role in process control, monitoring and optimization. Since the prediction accuracy of NIR model strongly depends on the structure of training samples, it is importa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2017-10-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/289 |