Research Article
Novel FTLRNN with Gamma Memory for Short-Term and Long-Term Predictions of Chaotic Time Series
Table 8
Performance of MLPNN and FTLRNN on testing data for Duffing time series.
| MLPNN on testing data | FTLRNN on testing data |
| (step) | MSE | NMSE | | MSE | NMSE | |
| 1 | 0.08750 | 0.5666 | 0.66035 | 0.00113 | 0.00957 | 0.99545 | 5 | 0.07634 | 0.55568 | 0.68434 | 0.00202 | 0.01315 | 0.99356 | 10 | 0.08331 | 0.54275 | 0.67991 | 0.00335 | 0.02185 | 0.98910 | 20 | 0.08580 | 0.62975 | 0.63454 | 0.00632 | 0.04150 | 0.97982 | 50 | 0.10079 | 0.74545 | 0.54593 | 0.00927 | 0.06562 | 0.96663 | 100 | 0.11397 | 0.85011 | 0.40191 | 0.00117 | 0.07870 | 0.96000 |
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