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

X1X2/mX3/MPaX4/%X5/cmX6X7/mX8/m2X9/dX10X11
13380100.5654.0522.504224001032
23380110.2250.1019.604204001433
34380130.3560.1518.514244801233
44370100.6849.0220.104183602032
54370110.2065.3319.003204001832
62340130.3527.7526.00215300534
73330100.6645.0020.402153501734
84330110.6071.3121.404174001433
94360120.8274.4751.004254503042
104340100.0067.1225.004204001642
113280120.9030.1351.902173401224
12328090.0055.0638.20325500832
132280100.0054.6024.903256002031
142290110.0084.2830.403306001131
154340120.0030.4027.104224401343
161320120.0081.5730.301305801541
174270120.4640.2121.204234401533
184270100.4063.7226.604255002333
194260110.2085.0025.00425450822
204260120.2863.4428.00422440222
213310100.4660.7527.303275401632
224300110.5585.0027.703204001433
232300120.0014.3136.002153001344
24332096.4753.0031.254183601942
254320105.8045.6030.004203002342
263320108.4556.8018.75420400732
274320125.3054.4045.454255501232
284297110.0075.0020.00418400532
29429797.4340.6518.293153502042
30328580.0040.0030.772255001542
313320120.3062.4018.523224501043
323275100.4055.0017.443203601842
33228590.0048.6027.78217340344