Research Article
Novel FTLRNN with Gamma Memory for Short-Term and Long-Term Predictions of Chaotic Time Series
Table 9
Performance of MLPNN and FTLRNN for testing data set for Laser time series.
| (step) | MLP neural network | FTLRNN | MSE | NMSE | | MSE | NMSE | |
| 1 | 0.01815 | 0.681 | 0.59818 | 0.00282 | 0.105 | 0.94592 | 5 | 0.02522 | 0.918 | 0.35641 | 0.00372 | 0.135 | 0.93962 | 10 | 0.01957 | 0.689 | 0.5587 | 0.00956 | 0.337 | 0.9014 | 20 | 0.03040 | 1.009 | 0.11287 | 0.01635 | 0.543 | 0.71872 | 50 | 0.03499 | 1.039 | 0.28146 | 0.03466 | 1.02971 | 0.41330 |
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