Research Article
Concurrent, Performance-Based Methodology for Increasing the Accuracy and Certainty of Short-Term Neural Prediction Systems
Table 1
Forecasting weight coefficients based on the networks’ training set accuracy in GNI forecasting.
| Weight coefficients | 7 neurons, 1st most accurate | 9 neurons, 2nd most accurate | 10 neurons, 3rd most accurate |
| Averaged | 33.33 | 33.33 | 33.33 | MAE-based | 40.63 | 31.03 | 28.34 | RMSE-based | 51.26 | 28.83 | 19.91 | MSE-based | 42.14 | 31.60 | 26.26 |
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