Research Article
Daily Crude Oil Price Forecasting Using Hybridizing Wavelet and Artificial Neural Network Model
Table 3
Training and testing performance of different network architecture of WANN model.
| | Data | Network architecture | Training | Testing | | Input | Hidden | RMSE | MAPE | RMSE | MAPE |
| | Brent | 1 | 3 | 0.4437 | 1.46% | 0.8939 | 1.49% | | 2 | 2 | 0.4225 | 1.35% | 0.8439 | 1.41% | | 3 | 7 | 0.3756 | 1.24% | 0.8174 | 1.35% | | 4 | 4 | 0.3736 | 1.20% | 0.8151 | 1.31% | | 5 | 8 | 0.3489 | 1.15% | 0.8593 | 1.31% | | 6 | 8 | 0.3431 | 1.14% | 0.9061 | 1.37% |
| | WTI | 1 | 1 | 0.5108 | 1.60% | 0.8738 | 1.65% | | 2 | 3 | 0.4617 | 1.46% | 0.8216 | 1.54% | | 3 | 2 | 0.4252 | 1.37% | 0.7900 | 1.47% | | 4 | 3 | 0.4171 | 1.33% | 0.7699 | 1.42% | | 5 | 1 | 0.4044 | 1.29% | 0.7549 | 1.39% | | 6 | 10 | 0.3712 | 1.24% | 0.9506 | 1.49% |
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