Research Article
An Improved Generalized-Trend-Diffusion-Based Data Imputation for Steel Industry
Table 2
Imputation accuracies with different methods (hot blast stove’s BFG consumption).
| Missing number | Methods | Group 1 | Group 2 | Group 3 | RMSE | NRMSE | MAPE | RMSE | NRMSE | MAPE | RMSE | NRMSE | MAPE |
| | Regression | 57.16 | 0.0713 | 22.21 | 55.96 | 0.0777 | 28.56 | 35.56 | 0.0489 | 16.96 | | EM | 43.56 | 0.0543 | 17.88 | 45.82 | 0.0636 | 25.76 | 34.46 | 0.0474 | 17.58 | 3 points | SPLINE | 36.72 | 0.0458 | 13.80 | 60.62 | 0.0842 | 31.69 | 22.10 | 0.0304 | 10.68 | | GTD | 9.13 | 0.0114 | 2.88 | 14.90 | 0.0207 | 5.85 | 14.50 | 0.0199 | 3.42 | | iGTD | 7.19 | 0.0090 | 2.05 | 14.42 | 0.0200 | 5.71 | 6.23 | 0.0086 | 2.87 |
| | Regression | 47.17 | 0.0578 | 23.07 | 29.10 | 0.0333 | 11.52 | 30.12 | 0.0356 | 11.56 | | EM | 26.15 | 0.0320 | 12.65 | 21.59 | 0.0247 | 10.96 | 26.44 | 0.0313 | 13.92 | 4 points | SPLINE | 25.18 | 0.0308 | 7.80 | 21.06 | 0.0241 | 6.51 | 14.99 | 0.0177 | 5.25 | | GTD | 15.73 | 0.0193 | 4.74 | 11.78 | 0.0135 | 3.82 | 17.42 | 0.0206 | 5.85 | | iGTD | 15.09 | 0.0185 | 4.25 | 9.80 | 0.0112 | 3.37 | 16.63 | 0.0197 | 5.13 |
| | Regression | 28.84 | 0.0307 | 11.90 | 55.71 | 0.0612 | 30.84 | 39.92 | 0.0429 | 20.31 | | EM | 25.54 | 0.0272 | 13.35 | 39.99 | 0.0439 | 24.38 | 40.80 | 0.0439 | 25.78 | 5 points | SPLINE | 47.33 | 0.0505 | 21.45 | 15.21 | 0.0167 | 7.00 | 33.42 | 0.0359 | 19.18 | | GTD | 20.12 | 0.0215 | 6.70 | 7.89 | 0.0087 | 3.93 | 6.67 | 0.0072 | 2.70 | | iGTD | 15.03 | 0.0160 | 5.97 | 7.09 | 0.0078 | 3.55 | 5.15 | 0.0055 | 2.16 |
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