Research Article
Structural Damage Identification Based on Rough Sets and Artificial Neural Network
Table 13
Damage identification by using attribute set 1.
| Expectation | Bay | Position | Degree | Recognition | Bay | Position | Degree |
| 1 | 7 | upper | 28.8% | 1 | 7.32 | 1.28 | 15.96% | 2 | 7 | upper | 62.2% | 2 | 6.93 | 1.02 | 48.53% | 3 | 7 | diagonal | 28.8% | 3 | 7.23 | 1.97 | 30.68% | 4 | 7 | diagonal | 62.2% | 4 | 7.08 | 2.01 | 57.75% | 5 | 7 | bottom | 28.8% | 5 | 7.11 | 3.33 | 10.84% | 6 | 7 | bottom | 62.2% | 6 | 7.07 | 3.13 | 20.68% | 7 | 5 | upper | 28.8% | 7 | 5.12 | 1.17 | 40.52% | 8 | 5 | upper | 62.2% | 8 | 4.88 | 0.74 | 63.84% | 9 | 5 | diagonal | 28.8% | 9 | 4.53 | 1.45 | 82.56% | 10 | 5 | diagonal | 62.2% | 10 | 4.54 | 1.15 | 35.53% | 11 | 5 | bottom | 28.8% | 11 | 5.16 | 2.63 | 68.45% | 12 | 5 | bottom | 62.2% | 12 | 5.22 | 3.04 | 72.34% |
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