Research Article
Novel FTLRNN with Gamma Memory for Short-Term and Long-Term Predictions of Chaotic Time Series
Table 13
For K = 10, 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% | 0.00191 | 0.03733 | 0.9812 | 0.00804 | 0.15432 | 0.92405 | 20% | 65% | 0.00208 | 0.03994 | 0.97985 | 0.00314 | 0.02395 | 0.98796 | 30% | 55% | 0.02261 | 0.04205 | 0.97888 | 0.00202 | 0.01315 | 0.99356 | 40% | 45% | 0.00266 | 0.04815 | 0.97581 | 0.00260 | 0.01653 | 0.99185 | 50% | 35% | 0.03448 | 0.06483 | 0.967219 | 0.00288 | 0.01936 | 0.99014 | 60% | 25% | 0.004475 | 0.07940 | 0.9596 | 0.00335 | 0.02185 | 0.98910 | 70% | 15% | 0.00757 | 0.12238 | 0.9373 | 0.00306 | 0.02046 | 0.99001 | 80% | 05% | 0.02204 | 0.27796 | 0.8537 | 0.00655 | 0.04429 | 0.97835 |
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