Research Article

Fuzzy Neural Network-Based Damage Assessment of Bridge under Temperature Effect

Table 3

Cases for testing and identification results of ANFIS.

Temperature (°C)Damage severityULSCD8 (10−8)Expected outputsActual results

−2012%−1.6111.03
−1018%−2.6321.95
08%−1.0910.98
1027%−4.7033.04
2023%−4.0622.05
−810%−1.4111.05
1619%−3.1021.97