Research Article
Brent Crude Oil Price Forecast Utilizing Deep Neural Network Architectures
Table 5
Results of Bi-LSTM with RMSProp solver.
| Parameter | Value |
| Root-mean-square error (RMSE) | 1.94 | Maximum error | 11.24 | Modeling time | 114 | Mean squared error (MSE) | 3.72 | Feedback regressors | [1, 2] | Hidden layers | 10 |
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