Rockburst Prediction Model Based on Entropy Weight Integrated with Grey Relational BP Neural Network

Table 2

Index information in the sample library.

Series	Tunnel mileage	C1	C2	C3	C4	Rockburst intensity grade
1	SK39 + 980	0.058	9.3	2	0.54	2
2	SK40 + 800	0.161	11.4	3	0.89	3
3	SK41 + 950	0.166	10.5	3	0.91	3
4	SK42 + 420	0.216	8.6	2	0.76	2
5	SK42 + 980	0.241	4.4	4	0.47	1
6	SK43 + 030	0.225	5.2	4	0.45	1
7	SK43 + 730	0.521	5.5	4	0.37	2
8	SK43 + 780	0.401	3.8	4	0.35	0
9	SK44 + 200	0.439	7.6	4	0.49	2
10	SK44 + 600	0.405	9.8	2	0.52	2
11	SK45 + 380	0.378	8.4	4	0.88	2
12	SK47 + 500	0.58	6.7	4	0.86	3
13	SK47 + 850	0.608	7.0	3	0.74	3
14	SK48 + 950	0.414	8.8	2	0.41	3
15	SK49 + 750	0.446	8.5	2	0.4	3
16	SK53 + 350	0.372	9.7	3	0.92	3
17	SK56 + 300	0.198	6.6	3	0.53	1
18	SK57 + 150	0.147	8.1	3	0.42	1
19	SK57 + 250	0.079	4.2	3	0.39	0
20	SK58 + 310	0.044	5.8	2	0.61	1