Research Article
Recognition of Process Disturbances for an SPC/EPC Stochastic System Using Support Vector Machine and Artificial Neural Network Approaches
Table 3
AIR for the proposed models (i.e., recognition of trend and cycle disturbances).
| Proposed approach | Structures or parameters | Trend | Cycle | AIR |
| SES | ; | 0.882 | 0.966 | 92.40% |
| SEA | {2-2-1} | 0.886 | 0.970 | 92.80% | {2-3-1} | 0.860 | 0.996 | 92.80% | {2-4-1} | 0.860 | 0.996 | 92.80% | {2-5-1} | 0.860 | 0.996 | 92.80% | {2-6-1} | 0.860 | 0.996 | 92.80% |
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