Research Article
A Novel Phase Space Reconstruction- (PSR-) Based Predictive Algorithm to Forecast Atmospheric Particulate Matter Concentration
Table 1
Performance of the predicted models in terms of RMSE and MAE.
| Models | PM2.5 (μgm−3) | PM10.0 (μgm−3) | PM2.5/PM10.0 | Using proposed setting of the target set | Using traditional setting of the target set | Using proposed setting of the target set | Using traditional setting of the target set | Using proposed setting of the target set | Using traditional setting of the target set | RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE | MAE |
| RF | 1.27 | 0.86 | 8.82 | 5.07 | 1.60 | 1.16 | 19.86 | 9.80 | 0.02 | 0.02 | 0.21 | 0.16 | SVR-L | 0.10 | 0.09 | 12.65 | 9.93 | 0.06 | 0.06 | 141.5 | 140.0 | 0.05 | 0.04 | 0.71 | 0.59 | SVR-R | 24.04 | 21.08 | 21.85 | 18.43 | 37.80 | 34.17 | 62.17 | 60.39 | 10.14 | 9.74 | 5.58 | 5.02 | FFNN | 0.04 | 0.04 | 8.03 | 4.46 | 0.13 | 0.09 | 18.05 | 8.57 | 0.001 | 0.001 | 0.20 | 0.16 |
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