Research Article
Time Series Prediction Based on Complex-Valued S-System Model
Table 3
Performance of ARIMA, RBFNN, FNT, ODE, S-system, and CVSS with the NASI dataset.
| Methods | RMSE | MAP | ARV | MAPE | R2 | POCID |
| CVSS | 0.00632 | 7.7941 | 0.00075 | 0.83321 | 0.99932 | 88.1 | S-system | 0.008324 | 7.9168 | 0.001707 | 1.0035 | 0.99829 | 87.2 | ODE | 0.00841 | 7.9019 | 0.001741 | 1.4512 | 0.99799 | 87.7 | FNT | 0.016468 | 32.352 | 0.006859 | 2.5336 | 0.99314 | 87.0 | RBFNN | 0.03669 | 37.371 | 0.027513 | 4.5327 | 0.97249 | 86.7 | ARIMA | 0.049849 | 18.46 | 0.093189 | 5.31 | 0.90681 | 70.0 |
|
|