Research Article
Statistical Modeling and Prediction for Tourism Economy Using Dendritic Neural Network
Table 5
Comparison of the SA-D model and the other combination models.
| | Americas | Europe | Oceania |
| ARIMA + BPNN | | | | APE | 13.41 | 12.95 | 13.46 | NMSE | 0.3992 | 0.8153 | 0.5327 | R | 0.9918 | 0.9917 | 0.9856 | ARIMA + SVR | | | | APE | 11.46 | 11.37 | 11.87 | NMSE | 0.2878 | 0.6316 | 0.5102 | R | 0.9923 | 0.9917 | 0.9871 | The SA-D model (with data preset as other authors did) | | | | APE | 9.61 | 9.73 | 9.89 | NMSE | 0.2788 | 0.4561 | 0.4968 | R | 0.9934 | 0.9921 | 0.9864 | The SA-D model (without data preset) | | | | APE | 10.34 | 10.51 | 10.87 | NMSE | 0.3458 | 0.5619 | 0.6027 | R | 0.9912 | 0.9906 | 0.9891 |
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