Research Article
GDP Economic Forecasting Model Based on Improved RBF Neural Network
Table 3
Accuracy of GDP forecasts for different models.
| Year | Number of hidden layer neurons | RMSE | Stochastic time series forecasting | Regression model prediction | RBF | SFLA-RBF |
| 2011 | 5 | 0.0874 | 0.0802 | 0.0771 | 0.0703 | 10 | 0.0821 | 0.0721 | 0.0634 | 0.0535 | 20 | 0.0751 | 0.0749 | 0.0674 | 0.0598 | 30 | 0.0733 | 0.0678 | 0.0662 | 0.0572 |
| 2012 | 5 | 0.0892 | 0.0801 | 0.0762 | 0.0711 | 10 | 0.0674 | 0.0660 | 0.0644 | 0.0578 | 20 | 0.0848 | 0.0797 | 0.0707 | 0.0604 | 30 | 0.0736 | 0.0676 | 0.0668 | 0.0612 |
| 2013 | 5 | 0.0928 | 0.0871 | 0.0792 | 0.0751 | 10 | 0.0759 | 0.0743 | 0.0653 | 0.0577 | 20 | 0.0771 | 0.0725 | 0.0691 | 0.0614 | 30 | 0.0691 | 0.0691 | 0.0688 | 0.0607 |
| 2014 | 5 | 0.0920 | 0.0855 | 0.0817 | 0.0773 | 10 | 0.0760 | 0.0705 | 0.0672 | 0.0549 | 20 | 0.0869 | 0.0776 | 0.073 | 0.0618 | 30 | 0.0847 | 0.0784 | 0.0691 | 0.0592 |
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