Table 6.
Results on RMSE of the models estimated from measured data.
| Scenario | DASA | PSO | DE | A717 | |
|---|---|---|---|---|---|
| Best | 0.0661 | 0.0752 | 0.0599 | 0.2482 | |
| Median | 0.0744 | 0.2032 | 0.0643 | 0.2782 | |
| TO | Worst | 0.1530 | 0.2045 | 0.0682 | 0.2898 |
| Average | 0.0782 | 0.1494 | 0.0647 | 0.2749 | |
| Std | 0.0163 | 0.0627 | 0.0029 | 0.0124 | |
| Best | 0.0665 | 0.0825 | 0.0623 | 0.2453 | |
| Median | 0.0799 | 0.1942 | 0.0649 | 0.3964 | |
| NPO | Worst | 0.1788 | 0.2338 | 0.0698 | 0.4920 |
| Average | 0.0924 | 0.1680 | 0.0654 | 0.3857 | |
| Std | 0.0305 | 0.0471 | 0.0019 | 0.0724 | |
The table presents the RMSE values associated with the predicted models (over 25 runs) obtained by parameter estimation with the four optimization methods from measured data. The best values regrading all statistics are given in bold.