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, 1^st most accurate	9 neurons, 2^nd most accurate	10 neurons, 3^rd 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