Research Article
A Hybrid Model Using PCA and BP Neural Network for Time Series Prediction in Chinese Stock Market with TOPSIS Analysis
Table 10
Summary of all prediction models for China Merchants Bank.
| Performance index | PCA_BP_LM | PCA_BP_BR | PCA_BP_SCG | BP_LM | BP_BR | BP_SCG | | | |
| MSE | 1.8505 | 0.6835 | 465.9897 | 1.7650 | 2.8216 | 50.4798 | 0.9742 | 1.3598 | 4.0850 | RMSE | 1.3603 | 0.8267 | 21.5868 | 1.3285 | 1.6798 | 7.1049 | 0.9870 | 1.1661 | 2.0211 | MAPE | 0.0204 | 0.0130 | 0.4137 | 0.0197 | 0.0226 | 0.1142 | 0.0154 | 0.0187 | 0.0336 | Accuracy5 | 0.9433 | 0.9967 | 0.0000 | 0.9433 | 0.8967 | 0.2233 | 0.9867 | 0.9700 | 0.7867 | Accuracy | 0.9506 | 0.9947 | 0.1173 | 0.9507 | 0.9128 | 0.3558 | 0.9863 | 0.9723 | 0.8226 |
|
|
RMSE, root mean square error. Bold values signify the best results.
|