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

Table 17

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

Training functions	Sets	Neurons	Noise levels						Maximum error
			0.00	0.01	0.02	0.04	0.08	0.10
T_LM	264	(13,6)	0.083	0.153	0.158	0.148	0.167	0.168	0.168
T_SCG	192	(15,7)	0.196	0.486	0.429	0.307	0.365	0.223	0.486
T_RP	240	(15,6)	0.075	0.194	0.296	0.276	0.261	0.256	0.296
T_GDM	288	(15,6)	0.838	1.008	1.190	0.679	1.021	1.462	1.462
T_GDX	240	(15,6)	0.172	0.105	0.274	0.195	0.204	0.332	0.332
T_CGF	240	(15,7)	0.156	0.230	0.151	0.173	0.201	0.197	0.230
T_BFG	192	(15,7)	0.303	0.428	0.339	0.193	0.211	0.144	0.428