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3 各指标之间的Pearson相关性系数
Table 3 Pearson correlation coefficient between indicators
因素X1X2X3X4X5X6X7X8X9X10X11
X11.0000.1200.0710.163-0.1080.746-0.130-0.1680.231-0.205-0.004
X20.1201.0000.228-0.036-0.1750.223-0.151-0.1830.2270.1810.052
X30.0700.2281.000-0.0160.1760.0860.0310.002-0.169-0.2470.250
X40.160-0.036-0.0161.000-0.1120.2530.5310.4970.015-0.199-0.551
X5-0.100-0.1750.176-0.1121.000-0.1860.2090.1420.141-0.0330.047
X60.7400.2230.0860.253-0.1861.0000.0740.0170.134-0.197-0.250
X7-0.130-0.1510.0310.5310.2090.0741.0000.9070.101-0.078-0.633
X8-0.160-0.1830.0020.4970.1420.0170.9071.0000.046-0.142-0.602
X90.2300.227-0.1690.0150.1410.1340.1010.0461.0000.391-0.229
X10-0.2000.181-0.247-0.199-0.033-0.197-0.078-0.1420.3911.000-0.063
X11-0.0040.0520.250-0.5510.047-0.250-0.633-0.602-0.229-0.0631.000