Research Article
Prediction of Grade Classification of Rock Burst Based on PCA-SSA-PNN Architecture
Table 6
The statistical results of Table
5.
| Prediction methods | Performances | Overprediction ratio (%) | Underprediction ratio (%) | Accuracy ratio (%) | Error ratio (%) |
| Single-index | Barton’s method | 57.1 | 0 | 42.9 | 57.1 | Russenes’ method | 85.7 | 0 | 14.3 | 85.7 | Xu et al.’s method | 21.4 | 7.1 | 71.5 | 28.5 |
| Multi-index | BP | 21.5 | 7.1 | 71.5 | 28.5 | SVM | 14.2 | 0 | 85.8 | 14.2 | RF | 28.5 | 0 | 71.5 | 28.5 | Standard PNN | 7.1 | 14.3 | 78.6 | 21.4 | PCA-SSA-PNN | 7.1 | 0 | 92.9 | 7.1 |
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