Research Article
A Hybrid Model Using PCA and BP Neural Network for Time Series Prediction in Chinese Stock Market with TOPSIS Analysis
Table 12
Summary of all prediction models for Wanxiang Denong.
| Performance index | PCA_BP_LM | PCA_BP_BR | PCA_BP_SCG | BP_LM | BP_BR | BP_SCG | | | |
| MSE | 0.0764 | 0.0698 | 1.6857 | 0.3494 | 0.0880 | 7.1489 | 0.1324 | 0.1744 | 0.4644 | RMSE | 0.2764 | 0.2642 | 1.2983 | 0.5911 | 0.2966 | 2.6737 | 1.6351 | 0.4176 | 0.6815 | Mape | 0.0181 | 0.0169 | 0.0952 | 0.0333 | 0.0201 | 0.2112 | 0.0190 | 0.0219 | 0.0375 | Accuracy5 | 0.9833 | 0.9900 | 0.2267 | 0.8033 | 0.9467 | 0.0533 | 0.9367 | 0.9133 | 0.7500 | Accuracy | 0.9830 | 0.9886 | 0.3623 | 0.8360 | 0.9533 | 0.2004 | 0.9455 | 0.9263 | 0.7925 |
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RMSE, root mean square error. Bold values signify the best results.
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