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5 SSA-XGBoost模型在不同粒子数下的预测性能

Table 5 Performance of SSA-XGBoost model under different swarm sizes

粒子数 训练集 测试集 MAE MAPE RMSE R2 MAE MAPE RMSE R2 60 8.213 8.733 12.466 0.8629 8.624 9.170 13.089 0.8208 70 7.426 7.986 10.962 0.8811 7.797 8.385 11.501 0.8374 80 7.132 7.329 10.543 0.8856 7.489 7.695 11.070 0.8416 90 8.012 8.345 11.607 0.8743 8.413 8.762 12.187 0.8313 100 7.087 7.012 9.914 0.8933 7.441 7.363 10.410 0.8496