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 number12345678910111213141516IA ratio (%)
Testing sample number200200200200200200200200200200200200200200200200

Number of correct identification
ε = 100%231932749680610642658673169383126.28
ε = 90%3812125507536451438536813654991345634.81
ε = 80%5516170629110068156815555055841302138.88
ε = 70%311891046231284915795631131189257886041.78
ε = 60%50200899798751051741266010311089135798052.19
ε = 50%9218311811586677919211912313314611312812911060.41
ε = 40%1231881461331079514720014812316013412316613711170.03
ε = 30%16419918116413914318320016917018018618019312511183.97
ε = 20%18620019919819217919720019618919819819219814217394.91
ε = 10%20020020020020020020020020020020020020020018119799.31