基于改进XGBoost算法的深部巷道松动圈智能预测研究

凡兴禹,王雪林

Research on Intelligent Prediction of EDZ Around Deep Tunnels Based on Improved XGBoost Algorithm

Xingyu FAN,Xuelin WANG

表4 PSO-XGBoost模型在不同粒子数下的预测性能

Table 4 Performance of PSO-XGBoost model under different swarm sizes

粒子数 训练集 测试集 MAE MAPE/% RMSE R2 MAE MAPE/% RMSE R2 60 5.231 5.513 7.143 0.9244 5.543 5.844 7.572 0.8787 70 5.741 5.734 7.455 0.9212 6.081 6.078 7.902 0.8752 80 5.828 5.945 7.543 0.9189 6.178 6.302 7.996 0.8731 90 6.321 6.712 9.365 0.9023 6.712 7.115 9.927 0.8573 100 5.934 6.294 8.011 0.9123 6.298 6.672 8.492 0.8670