Table 1.
Image processing time, network prediction time and prediction error of the present MLP using sample images with different resolutions. The results are compared with the performance of a DCNN-based approach and an inverse method
| Image processing time (ms) | Prediction time (ms) | Prediction error (%) | |
|---|---|---|---|
| MLP (42 pixels, 20 nodes) | 0.25 | 0.19 | 12 |
| MLP (42 pixels, 60 nodes) | 0.47 | 0.2 | 13 |
| MLP (68 pixels, 20 nodes) | 0.32 | 0.19 | 11 |
| MLP (68 pixels, 60 nodes) | 0.54 | 0.2 | 6 |
| MLP (138 pixels, 20 nodes) | 0.45 | 0.19 | 6 |
| MLP (138 pixels, 60 nodes) | 0.76 | 0.2 | 2 |
| DCNN (138 pixels) | 0.44 | 54.2 | 14 |
| Inverse method (138 pixels, 60 nodes) | 0.76 | 18.7 | 2 |