Research Article
A Comparative Study of Activation Functions of NAR and NARX Neural Network for Long-Term Wind Speed Forecasting in Malaysia
Table 3
Performance indicators of WSF.
| ā | Areas | NAR and NARX Neural Networks | Tansig | Logsig | MAE (m/s) | MAPE | RMSE | MAE (m/s) | MAPE | RMSE |
| NARNN | Kuala Lumpur | 0.014 | 14.79 | 1.102 | 0.041 | 16.78 | 1.281 | Kuantan | 0.025 | 19.27 | 1.15 | 0.134 | 28.84 | 1.788 | Melaka | 0.029 | 10.79 | 0.583 | 0.339 | 11.03 | 0.858 |
| NARXNN | Kuala Lumpur | 0.046 | 14.22 | 1.231 | 0.058 | 12.04 | 1.028 | Kuantan | 0.550 | 20.46 | 1.212 | 0.880 | 22.55 | 1.485 | Melaka | 0.0317 | 9.53 | 0.833 | 0.434 | 11.23 | 0.853 |
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