Table 3.
The statistical comparison of MAE [mm] for MLP versus QNU over all various setups (on the 3D lung tumor motion prediction for prediction horizon of 1 second).
| Learning | Data | Architecture | ||
|---|---|---|---|---|
| MLP | QNU | LNU | ||
| GD | Min of MAE | 1.54 | ||
| Average of MAE | 2.33 | |||
| Standard deviation of MAE | 0.75 | |||
|
| ||||
| LM | Min of MAE | 1.03 | 1.01 | |
| Average of MAE | 1.18 | 1.08 | ||
| Standard deviation of MAE | 0.08 | 0.04 | ||
|
| ||||
| MLM | Min of MAE | 1.04 | 0.99 | 1.13 |
| Average of MAE | 1.18 | 1.06 | 1.28 | |
| Standard deviation of MAE | 0.08 | 0.04 | 0.13 | |