Quantitative Detection of Quartz Sandstone SiO<sub>2</sub> Grade Using Polarized Infrared Absorption Spectroscopy with Convolutional Neural Network Model

<div>Prediction of the PCA-CNN model: (a) original data; (b) first-order derivative; (c) reciprocal logarithm; and (d) MSC. The black and red lines show the 1 : 1 relationship and the model trend. The reciprocal logarithm-PCA-GRNN model falls within the largest number of points within the 95% confidence band.</div>

Journal of Spectroscopy

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Figure 8

Figure 8: Quantitative Detection of Quartz Sandstone SiO<sub>2</sub> Grade Using Polarized Infrared Absorption Spectroscopy with Convolutional Neural Network Model 

Figure 8 | Quantitative Detection of Quartz Sandstone SiO2 Grade Using Polarized Infrared Absorption Spectroscopy with Convolutional Neural Network Model 