Research Article
Novel FTLRNN with Gamma Memory for Short-Term and Long-Term Predictions of Chaotic Time Series
Table 12
For K = 5, training and testing samples variation for FTLRNN on testing data set.
| Time series | Mackey-Glass time series | Duffing time series |
| Training exemplars | Testing exemplars | MSE | NMSE | | MSE | NMSE | |
| 10% | 75% | 0.000501 | 0.01779 | 0.99122 | 0.00465 | 0.08523 | 0.95975 | 20% | 65% | 0.001006 | 0.019508 | 0.9902 | 0.00162 | 0.01236 | 0.99388 | 30% | 55% | 0.001196 | 0.02256 | 0.98875 | 0.00150 | 0.00944 | 0.99552 | 40% | 45% | 0.00144 | 0.02653 | 0.98675 | 0.00139 | 0.00885 | 0.99578 | 50% | 35% | 0.00167 | 0.0322 | 0.9838 | 0.00170 | 0.01154 | 0.99435 | 60% | 25% | 0.00227 | 0.04145 | 0.97911 | 0.00202 | 0.01315 | 0.99356 | 70% | 15% | 0.00371 | 0.06227 | 0.9684 | 0.00149 | 0.00999 | 0.99524 | 80% | 05% | 0.01089 | 0.1502 | 0.9226 | 0.00435 | 0.02941 | 0.98926 |
|
|