Research Article
Time Series Prediction Based on Complex-Valued S-System Model
Table 4
Performance of ARIMA, RBFNN, FNT, ODE, S-system, and CVSS with the RHKRMB dataset.
| Methods | RMSE | MAP | ARV | MAPE | R2 | POCID |
| CVSS | 0.006601 | 469.18 | 0.003469 | 3.3499 | 0.99653 | 90.3 | S-system | 0.007054 | 492.67 | 0.003947 | 3.5544 | 0.99605 | 90.1 | ODE | 0.008209 | 511.75 | 0.006142 | 4.4394 | 0.99386 | 89.3 | FNT | 0.01855 | 184.98 | 0.033387 | 26.885 | 0.96661 | 88.5 | RBFNN | 0.025259 | 85.343 | 0.062869 | 47.991 | 0.93713 | 85.9 | ARIMA | 0.027369 | 118.26 | 0.073748 | 48.231 | 0.92625 | 70.2 |
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