Research Article
Damage Localization of Cable-Supported Bridges Using Modal Frequency Data and Probabilistic Neural Network
Table 4
Summary of correct identification for Tsing Ma Bridge (TMB).
| Pattern class number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | IA ratio (%) | Testing sample number | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 200 |
| Number of correct identification | | | | | | | | | | | | | | | | | | ε = 100% | 23 | 193 | 27 | 49 | 68 | 0 | 6 | 106 | 42 | 65 | 86 | 7 | 31 | 69 | 38 | 31 | 26.28 | ε = 90% | 38 | 121 | 25 | 50 | 75 | 36 | 45 | 143 | 85 | 36 | 81 | 36 | 54 | 99 | 134 | 56 | 34.81 | ε = 80% | 55 | 161 | 70 | 62 | 91 | 100 | 68 | 156 | 81 | 55 | 55 | 0 | 55 | 84 | 130 | 21 | 38.88 | ε = 70% | 31 | 189 | 104 | 62 | 31 | 28 | 49 | 157 | 95 | 63 | 113 | 118 | 92 | 57 | 88 | 60 | 41.78 | ε = 60% | 50 | 200 | 89 | 97 | 98 | 75 | 105 | 174 | 126 | 60 | 103 | 110 | 89 | 135 | 79 | 80 | 52.19 | ε = 50% | 92 | 183 | 118 | 115 | 86 | 67 | 79 | 192 | 119 | 123 | 133 | 146 | 113 | 128 | 129 | 110 | 60.41 | ε = 40% | 123 | 188 | 146 | 133 | 107 | 95 | 147 | 200 | 148 | 123 | 160 | 134 | 123 | 166 | 137 | 111 | 70.03 | ε = 30% | 164 | 199 | 181 | 164 | 139 | 143 | 183 | 200 | 169 | 170 | 180 | 186 | 180 | 193 | 125 | 111 | 83.97 | ε = 20% | 186 | 200 | 199 | 198 | 192 | 179 | 197 | 200 | 196 | 189 | 198 | 198 | 192 | 198 | 142 | 173 | 94.91 | ε = 10% | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 200 | 181 | 197 | 99.31 |
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