Research Article
Structural Damage Identification Based on Rough Sets and Artificial Neural Network
Table 14
Damage identification by using attribute set 2.
| Expectation | Bay | Position | Degree | Recognition | Bay | Position | Degree |
| 1 | 7 | upper | 28.8% | 1 | 6.24 | 1.34 | 13.41% | 2 | 7 | upper | 62.2% | 2 | 7.42 | 1.34 | 35.42% | 3 | 7 | diagonal | 28.8% | 3 | 7.14 | 1.84 | 42.52% | 4 | 7 | diagonal | 62.2% | 4 | 6.73 | 1.93 | 45.14% | 5 | 7 | bottom | 28.8% | 5 | 7.24 | 2.04 | 85.31% | 6 | 7 | bottom | 62.2% | 6 | 7.21 | 3.54 | 51.96% | 7 | 5 | upper | 28.8% | 7 | 4.76 | 1.42 | 45.15% | 8 | 5 | upper | 62.2% | 8 | 4.62 | 0.67 | 13.56% | 9 | 5 | diagonal | 28.8% | 9 | 5.25 | 2.02 | 41.08% | 10 | 5 | diagonal | 62.2% | 10 | 5.11 | 1.44 | 68.28% | 11 | 5 | bottom | 28.8% | 11 | 5.62 | 3.52 | 49.31% | 12 | 5 | bottom | 62.2% | 12 | 6.21 | 3.13 | 25.19% |
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