Table 4.
Optimal feature combinations for each algorithm that provide the best NRMSE (top) or CC (bottom). Results are given as mean ± standard deviation.
| Algorithm | Interval (s) | FR Method | FR Norm | Channel Selection | NRMSE | CC | Computational Time per Output |
|---|---|---|---|---|---|---|---|
| NARMA | 0.5 | Boxcar | 1 | Highcc | 17 ± 7% | 0.69 ± 0.35 | 2.2 ± 0.8 ms |
| LinReg | 0.5 | Boxcar | 1 | Highcc | 22 ± 6% | 0.51 ± 0.30 | 2.1 ± 0.6 ms |
| Kalman | 2 | Boxcar | 1 | Highcc | 25 ± 15% | 0.67 ± 0.40 | 3.4 ± 1.2 ms |
| Algorithm | Interval (s) | FR Method | FR Norm | Channel Selection | NRMSE | CC | Computational Time per Output |
|
| |||||||
| NARMA | 1 | SmoothBin | 0 | Highcc | 21 ± 8% | 0.72 ± 0.33 | 8.0 ± 4.3 ms |
| LinReg | 2 | SmoothBin | 1 | Highcc | 32 ± 34% | 0.70 ± 0.29 | 9.0 ± 4.5 ms |
| Kalman | 0.1 | TriangleC | 0 | Lasso | 27 ± 15% | 0.81 ± 0.13 | 2.0 ± 0.6 ms |