Research Article
Quantitative Detection of Quartz Sandstone SiO2 Grade Using Polarized Infrared Absorption Spectroscopy with Convolutional Neural Network Model
Table 4
Assessment of the PLSR prediction results.
| Input variable | R2 | RMSE | RPIQ |
| Original data | 0.5948 | 0.050 | 2.35 | First-order derivative | 0.6211 | 0.049 | 2.40 | Reciprocal logarithm | 0.7579 | 0.034 | 3.46 | MSC | 0.8051 | 0.033 | 3.56 | Original data-PCA | 0.6369 | 0.046 | 2.55 | First-order derivative-PCA | 0.6484 | 0.045 | 2.61 | Reciprocal logarithm-PCA | 0.7674 | 0.034 | 3.46 | MSC-PCA | 0.7947 | 0.033 | 3.56 | Original data-SPA | 0.6138 | 0.047 | 2.50 | First-order derivative-SPA | 0.5860 | 0.038 | 3.09 | Reciprocal logarithm-SPA | 0.7712 | 0.033 | 3.56 | MSC-SPA | 0.8437 | 0.030 | 3.92 |
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