Application of BP Neural Network Improved by Fireworks Algorithm on Suspender Damage Prediction of Long-Span Half-Through Arch Bridge

Table 6

Part of damage training sample data of No. 30 unit (I).

Node	Damage degree
	10%	20%	30%	40%	50%	59%
1	0	0	0	0	0	0
2	0	0	0.1662	0.1702	0.1667	91.275
3	0	0	0.3515	0.3531	0.3625	158.625
4	0	0	0.1664	0.3533	0.3675	216.791
5	0	0	0.1665	0.1659	0	264.95
6	0	0.1661	0	0.1705	0	290.175
7	0.1669	0.1663	0.1663	0	0	321.0266
8	0.1667	0	0	0.1767	0	317.34
9	0.0824	0.0571	0.043	0.0433	0.2524	261.84
10	0.0826	0.0727	0.0731	0.0855	0.0525	211.28
11	0.1042	0.1917	0.138	0.141	0.1506	153.583
12	0.1041	0.2073	0	0	0.235	91.333
13	0.1664	0.1765	0	0.1672	0	13.41
14	0.3323	0.5691	0.4791	0.739	0.8825	131.053
15	0.1658	0	0.1665	0.5685	0.775	197.6223
16	0.1601	0.5689	0.9577	2.55	2.175	328.271
17	7.4573	16.5638	26.1535	39.5231	58.6427	698.4525
18	8.1509	17.0935	27.8201	40.9312	60.0525	701.3361
19	16.537	38.0311	66.742	103.198	145.995	2379.856
20	17.055	40.3413	68.957	105.773	146.894	2415.182
21	18.543	41.7536	69.065	107.561	148.863	2568.675
22	19.145	42.7431	71.653	108.973	150.678	2605.412
23	20.973	43.7159	72.132	110.374	152.896	2689.325
24	21.315	44.4381	73.035	112.875	153.787	2701.188
25	22.045	44.983	73.958	118.053	157.329	2798.237
26	22.813	45.162	74.345	119.765	158.995	2835.889
27	28.549	56.461	85.842	211.537	173.139	2904.647
28	29.735	57.885	86.982	213.987	173.568	2981.427
29	38.941	68.125	91.413	223.614	223.854	3135.532
30	64.37	138.1	201.973	325.705	578.1125	637.1875
31	62.81	136.47	198.149	323.436	574.672	638.4538
32	39.076	71.3125	95.787	141.314	213.424	2144.7475
33	28.876	59.427	89.288	135.4134	189.413	1943.3546
34	27.971	58.546	87.537	133.612	187.375	1913.5632
35	23.897	53,995	83.749	118.414	175.441	1854.574
36	22.769	52.895	82.564	117.142	173.982	1832.127
37	21.4523	49.375	79.845	95.1575	164.7813	1722.427
38	20.6345	48.174	78.541	93.825	163.3574	1701.132
39	19.0528	46.982	76.564	91.413	161.7462	1690.545
40	18.9541	47.036	75.635	91.854	161.3421	1663.213
41	17.3425	45.758	74.138	90.751	159.876	1589.527
42	16.9547	43.325	73.062	87.054	158.645	1561.172
43	8.5612	18.095	32.797	42.1312	66.0937	1345.3341
44	7.9893	17.113	31.942	41.5752	65.7401	1297.5425
45	0.1678	0.5524	1.0875	2.1541	4.5425	345.2674
46	0.1794	0	0.1673	0.5327	0.8625	254.4452
47	0.3795	0.5674	0.6887	0.7975	0.9812	102.425
48	0.1673	0.1792	0	0.2425	0	13.5547
49	0.1054	0.1898	0	0	0.2525	91.2654
50	0.1045	0.1819	0.225	0.2251	0.2506	139.4425
51	0.08703	0.0726	0.0798	0.0825	0.0235	209.3234
52	0.087	0.0643	0.0411	0.0621	0.4354	253.4349
53	0.1701	0	0	0.2674	0	287.7556
54	0.1676	0.1675	0.1662	0	0	305.4553
55	0	0.1673	0	0.2452	0	285.2242
56	0	0	0.1673	0.2519	0	256.3345
57	0	0	0.1662	0.4425	0.4312	223.1525
58	0	0	0.4197	0.4509	0.4411	167.3255
59	0	0	0.1659	0.1734	0.1741	87.5254
60	0	0	0	0	0	0