Research Article

Damage Identification for Large Span Structure Based on Multiscale Inputs to Artificial Neural Networks

Table 16

The choice of the best neural network based on the strain damage parameters.

Training functionsSetsNeuronsNoise levelsMaximum error
0.000.010.020.040.080.10

T_LM288(15,6)0.1440.1570.1960.1420.1220.1490.196
T_SCG192(15,6)0.2860.2750.1770.2660.1990.2060.286
T_RP264(15,7)0.2610.2290.3910.3080.2950.3350.391
T_GDM192(15,6)1.0730.5721.0311.6330.8261.5801.633
T_GDX240(17,8)0.4930.3040.3920.5930.2970.0870.593
T_CGF192(13,6)0.2510.2140.1690.1530.2680.3050.305
T_BFG192(15,6)0.4990.4840.1980.1840.1840.2400.499