Research Article
Screw Performance Degradation Assessment Based on Quantum Genetic Algorithm and Dynamic Fuzzy Neural Network
Table 2
The prediction accuracies of two DFNN.
| ā | | | | | | | | | | | Accuracy of training samples | Accuracy of testing samples |
| Unoptimized DFNN | 2 | 1.5 | 2 | 0.1 | 0.9 | 0.9 | 2 | 0.1 | 2 | 0.1 | 0.7350 | 0.6975 |
| Optimized DFNN | 2.3896 | 1.0065 | 2.0226 | 0.0036 | 0.7432 | 0.1840 | 1.6578 | 0.3766 | 2.3861 | 0.5571 | 0.8225 | 0.8175 |
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