丝杠旋铣预测建模与自适应优化方法

刘超,丁浩,郑娟娟,黄绍服,罗祖青,沈刚

Predictive modeling and adaptive optimization method for ball screw whirling milling process

Chao LIU,Hao DING,Juanjuan ZHENG,Shaofu HUANG,Zuqing LUO,Gang SHEN

表 4 5种算法模型在4个指标上的性能对比

Tab.4 Performance comparison of five algorithm models across four indicators

算法 F/N 算法 av/g MAE MSE RMSE MAPE R2 MAE MSE RMSE MAPE R2 BP 8.62 63.2 7.95 6.28 0.870 BP 0.0064 6.63×10−5 0.0081 1.54 0.952 ISSA-BP 1.19 9.26 3.04 0.74 0.991 ISSA-BP 0.0003 3.42×10−6 0.0018 0.12 0.999 PSO-BP 3.55 37.8 6.15 2.49 0.960 PSO-BP 0.0018 1.54×10−5 0.0039 0.469 0.989 GWO-BP 4.33 42.6 6.53 3.22 0.950 GWO-BP 0.0036 3.20×10−5 0.0056 0.57 0.984 MFO-BP 3.89 36.2 6.02 2.3 0.964 MFO-BP 0.0020 2.61×10−5 0.0051 0.48 0.992 算法 Ra/nm 算法 $\sigma_{\mathrm{r}} $/MPa MAE MSE RMSE MAPE R2 MAE MSE RMSE MAPE R2 BP 3.01 21.17 4.60 6.70 0.880 BP 33.10 986.5 31.4 9.28 0.82 ISSA-BP 1.03 1.68 1.29 1.03 0.997 ISSA-BP 8.50 133.2 11.54 1.71 0.98 PSO-BP 2.35 13.56 3.68 2.00 0.984 PSO-BP 17.34 429.7 20.73 5.81 0.93 GWO-BP 2.83 16.28 4.03 2.36 0.975 GWO-BP 21.46 689.6 26.25 7.89 0.89 MFO-BP 3.20 14.33 3.79 4.17 0.950 MFO-BP 18.81 488.6 22.1 6.14 0.92