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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Bibliografiska uppgifter

Huvudupphov:	Shu-Bo Yang, Jesús Moreira, Zukui Li
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Elsevier 2022-06-01
Serie:	Digital Chemical Engineering
Ämnen:	Crude oil properties Fourier-transform infrared spectroscopy Support vector regression Principal component analysis Autoencoder
Länkar:	http://www.sciencedirect.com/science/article/pii/S2772508122000229
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