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The mean square error and mean truncated relative error of the various CNN models.
| Regular CNN trained using the loss function Equ. 7 | Regular CNN trained using the loss function Equ. 10 | Porosity-informed CNN | Regular CNN with preprocessed image as input | |
|---|---|---|---|---|
| Mean square error | 8.64 × 10−4 | 7.01 × 10−4 | 7.64 × 10−4 | 6.92 × 10−4 |
| Mean truncated relative error | 68.8% | 41.7% | 59.2% | 29.7% |
| 0.9903 | 0.9921 | 0.9914 | 0.9912 |
