Research Article
Time Series Prediction Based on Complex-Valued S-System Model
Table 5
Performance of RBFNN, FNT, ODE, S-system, and CVSS with Mackey–Glass chaos time series.
| Methods | RMSE | MAP | ARV | MAPE | R2 | POCID |
| CVSS | 0.009012 | 5.4256 | 0.0019403 | 0.89804 | 0.99806 | 96.177 | S-system | 0.024573 | 6.9489 | 0.011983 | 2.1923 | 0.98802 | 94.188 | ODE | 0.019789 | 7.4946 | 0.0074549 | 1.9057 | 0.99255 | 92.958 | FNT | 0.02445 | 10.187 | 0.009756 | 2.1314 | 0.99024 | 90.342 | RBFNN | 0.032639 | 13.306 | 0.020886 | 3.3305 | 0.97911 | 93.561 |
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