Research Article
Time Series Prediction Based on Complex-Valued S-System Model
Table 2
Performance of ARIMA, RBFNN, FNT, ODE, S-system, and CVSS with the SSEI dataset.
| Methods | RMSE | MAP | ARV | MAPE | R2 | POCID |
| CVSS | 0.007053 | 9.6815 | 0.005206 | 1.1121 | 0.99501 | 90.1 | S-system | 0.008105 | 9.957 | 0.00535 | 1.1271 | 0.99465 | 90.3 | ODE | 0.010321 | 12.349 | 0.00981 | 1.391 | 0.99128 | 90.1 | FNT | 0.014559 | 18.931 | 0.018903 | 2.2848 | 0.9811 | 89.7 | RBFNN | 0.014681 | 20.06 | 0.018024 | 2.1804 | 0.98198 | 86.5 | ARIMA | 0.020766 | 20.533 | 0.029814 | 3.9766 | 0.97019 | 68.1 |
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