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

Table 7

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

Node	Damage degree
	60%	65%	70%	80%	90%
1	0	0	0	0	0
2	79.1347	45.845	0.3424	0.3522	0.7453
3	147.2254	134.4649	0	0	0.6133
4	197.5565	175.6746	0.3245	0.5252	0.9585
5	249.2275	235.754	0	0	0.9356
6	268.1325	298.545	0.5345	0.3525	0.9456
7	326.1245	375.4342	0	0.3423	0.7455
8	311.4431	401.6757	0.3532	0	0.6465
9	279.8125	386.432	0.1452	0.1324	0.1342
10	241.1275	378.042	0.3432	0.2964	0.4653
11	126.5763	279.4345	0.1421	0.3765	0.3523
12	91.1134	187.6223	0.1432	0.1976	5.5474
13	13.4435	96.2275	0	0.3545	4.3635
14	132.3357	9.7567	1.7474	4.3534	15.463
15	154.0027	99.4325	1.3545	3.3536	307.643
16	403.5587	189.3322	5.3463	7.35335	875.453
17	740.7863	265.785	98.674	111.7845	2151.785
18	741.6259	263.522	97.252	112.6456	2142.452
19	2069.896	348.7963	210.1742	278.562	1905.7853
20	2075.953	350.0856	209.6561	279.985	1890.5643
21	2089.786	349.8963	212.4539	277.962	1881.0874
22	2103.615	351.5428	217.9865	280.785	1865.9085
23	2155.456	354.4425	223.3422	285.433	1843.5244
24	2298.5631	396.67	289.455	365.8965	1792.786
25	2367.7535	407.86	296.754	373.6578	1743.523
26	2591.762	447.6751	318.895	451.893	1658.9851
27	2678.525	456.8423	326.336	464.556	1634.3323
28	2815.675	562.753	358.952	512.753	1583.897
29	2956.544	576.352	365.43	534.564	1565.346
30	643.4632	681.2245	874.532	1354.433	855.895
31	651.5453	667.5531	858.761	1342.765	871.547
32	2145.5643	624.335	366.546	535.432	1567.548
33	2137.8356	615.975	359.354	528.653	1552.657
34	2005.633	603.3634	328.675	456.744	1636.463
35	1998.761	594.7641	321.879	437.563	1689.674
36	1979.742	535.436	301.345	374.5742	1745.363
37	1865.675	525.653	298.615	365.6751	1794.788
38	1636.502	517.543	243.346	289.766	1854.634
39	1601.893	512.012	239.879	280.184	1873.172
40	1597.981	509.675	231.783	277.892	1883.525
41	1569.785	504.156	227.533	275.173	1892.782
42	1559.247	502.873	221.875	276.845	1906.783
43	1386.4654	496.7678	94.4563	123.441	2143.111
44	1375.6751	495.8964	95.8915	125.896	2150.782
45	354.4453	455.8687	5.3563	7.34653	874.533
46	296.9672	324.5235	1.3452	3.56456	305.252
47	134.0528	231.745	1.7545	4.63663	15.3252
48	31.523	134.4425	0	0.3542	4.3523
49	69.525	21.452	0.14523	0.1342	5.4534
50	141.845	86.2452	0.14565	0.3525	0.3432
51	225.5434	154.5422	0.3523	0.2425	0.46467
52	278.3548	196.1132	0.1342	0.1235	0.1542
53	307.959	234.3321	0.3532	0	0.6356
54	355.4564	254.4254	0	0.3523	0.7363
55	313.453	313.553	0.5765	0.3453	0.9546
56	276.5635	276.5459	0	0	0.9353
57	225.5257	234.442	0.3235	0.5754	0.9457
58	175.5677	152.342	0	0	0.6363
59	104.7459	112.434	0.3543	0.3634	0.7546
60	0	0	0	0	0