基于NPCA-GA-BP神经网络的采场稳定性预测方法

谢饶青,陈建宏,肖文丰

Prediction Method of Stope Stability Based on NPCA-GA-BP Neural Network

Raoqing XIE,Jianhong CHEN,Wenfeng XIAO

表1 采场稳定性样本数据（王杰等，2018）

Table 1 Sample data of stope stability（Wang et al.，2008）

样本编号	X₁	X₂/m	X₃/MPa	X₄/%	X₅/cm	X₆	X₇/m	X₈/m²		X₁₀	X₁₁
1	3	380	100.56	54.05	22.50	4	22	400	10	3	2
2	3	380	110.22	50.10	19.60	4	20	400	14	3	3
3	4	380	130.35	60.15	18.51	4	24	480	12	3	3
4	4	370	100.68	49.02	20.10	4	18	360	20	3	2
5	4	370	110.20	65.33	19.00	3	20	400	18	3	2
6	2	340	130.35	27.75	26.00	2	15	300	5	3	4
7	3	330	100.66	45.00	20.40	2	15	350	17	3	4
8	4	330	110.60	71.31	21.40	4	17	400	14	3	3
9	4	360	120.82	74.47	51.00	4	25	450	30	4	2
10	4	340	100.00	67.12	25.00	4	20	400	16	4	2
11	3	280	120.90	30.13	51.90	2	17	340	12	2	4
12	3	280	90.00	55.06	38.20	3	25	500	8	3	2
13	2	280	100.00	54.60	24.90	3	25	600	20	3	1
14	2	290	110.00	84.28	30.40	3	30	600	11	3	1
15	4	340	120.00	30.40	27.10	4	22	440	13	4	3
16	1	320	120.00	81.57	30.30	1	30	580	15	4	1
17	4	270	120.46	40.21	21.20	4	23	440	15	3	3
18	4	270	100.40	63.72	26.60	4	25	500	23	3	3
19	4	260	110.20	85.00	25.00	4	25	450	8	2	2
20	4	260	120.28	63.44	28.00	4	22	440	2	2	2
21	3	310	100.46	60.75	27.30	3	27	540	16	3	2
22	4	300	110.55	85.00	27.70	3	20	400	14	3	3
23	2	300	120.00	14.31	36.00	2	15	300	13	4	4
24	3	320	96.47	53.00	31.25	4	18	360	19	4	2
25	4	320	105.80	45.60	30.00	4	20	300	23	4	2
26	3	320	108.45	56.80	18.75	4	20	400	7	3	2
27	4	320	125.30	54.40	45.45	4	25	550	12	3	2
28	4	297	110.00	75.00	20.00	4	18	400	5	3	2
29	4	297	97.43	40.65	18.29	3	15	350	20	4	2
30	3	285	80.00	40.00	30.77	2	25	500	15	4	2
31	3	320	120.30	62.40	18.52	3	22	450	10	4	3
32	3	275	100.40	55.00	17.44	3	20	360	18	4	2
33	2	285	90.00	48.60	27.78	2	17	340	3	4	4