Predicting crude oil properties using fourier-transform infrared spectroscopy (FTIR) and data-driven methods
Two data-driven approaches based on the Fourier-transform infrared spectroscopy (FTIR) data are presented in this work to predict crude oil properties. The first approach is the combination of the principal component analysis (PCA) and the support vector regression (SVR), namely PCA-SVR. In the PCA-...
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| Asıl Yazarlar: | , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2022-06-01
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| Seri Bilgileri: | Digital Chemical Engineering |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2772508122000229 |
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