Research Article
Screw Remaining Life Prediction Based on Quantum Genetic Algorithm and Support Vector Machine
Table 4
Prediction results of 101st degradation cycle to 150th degradation cycle.
| | | BP | Elman | SVM with random parameters | SVM with experiential parameters | SVM with parameters based on QGA |
| | MSE of predicting samples | 3.200 × 10−3 | 3.000 × 10−3 | 2.412 × 10−4 | 2.196 × 10−4 | 2.102 × 10−4 | | MAE of predicting samples | 0.0522 | 0.0492 | 0.0127 | 0.0113 | 0.0111 |
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