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5 非线性降维后的样本数据

Table 5 Sample data after nonlinear dimension reduction

样本编号 Y1 Y2 Y3 Y4 采场稳定性 样本编号 Y1 Y2 Y3 Y4 采场稳定性 1 1.496 1.405 2.218 -1.604 2 18 0.799 1.615 2.225 -1.784 2 2 1.637 1.375 2.181 -1.551 3 19 1.682 1.335 2.397 -1.695 2 3 1.592 1.508 2.235 -1.579 3 20 1.642 1.456 2.341 -1.658 3 4 1.795 1.397 2.103 -1.569 2 21 1.516 0.720 1.950 -1.733 4 5 1.750 1.415 2.249 -1.527 2 22 1.773 1.297 2.197 -1.681 2 6 1.116 0.983 2.093 -1.589 4 23 1.863 1.312 2.094 -1.704 2 7 1.667 1.136 2.186 -1.496 4 24 1.343 1.449 2.202 -1.534 2 8 1.651 1.499 2.209 -1.579 3 25 1.590 1.411 2.295 -1.946 2 9 2.000 1.386 2.362 -1.915 2 26 1.214 1.590 2.220 -1.563 2 10 1.720 1.455 2.231 -1.623 2 27 1.783 1.260 2.049 -1.488 2 11 1.485 1.012 2.148 -1.949 4 28 1.751 1.218 2.456 -1.632 1 12 1.385 1.321 2.358 -1.818 2 29 1.510 1.351 2.606 -1.691 1 13 1.620 1.279 2.035 -1.729 3 30 1.649 1.098 2.323 -1.695 2 14 1.568 0.868 2.863 -1.517 1 31 1.496 1.373 2.308 -1.494 3 15 1.671 1.376 2.118 -1.658 3 32 1.739 1.297 2.233 -1.450 2 16 1.861 1.450 2.306 -1.711 3 33 0.933 1.136 2.291 -1.557 4 17 1.391 1.616 2.354 -1.718 2