Research Article
Research on PM2.5 Spatiotemporal Forecasting Model Based on LSTM Neural Network
Table 4
Mean absolute error (MAE) values for different models predicted for the 1st to 6th hour of each baseline.
| MAE (μg/m3) | 1st hour | 2nd hour | 3rd hour | 4th hour | 5th hour | 6th hour |
| LSTM_N | 7.02 | 10.78 | 14.09 | 17.27 | 20.25 | 22.40 | LSTM_NW | 7.33 | 11.02 | 14.03 | 16.71 | 19.15 | 21.19 | LSTM_NE | 7.79 | 10.33 | 13.24 | 15.54 | 17.88 | 20.26 | LSTM_WE | 6.99 | 10.37 | 13.18 | 16.98 | 18.09 | 19.85 | LSTM_S | 7.81 | 12.19 | 14.59 | 17.95 | 19.81 | 22.56 | ST_LSTM | 6.81 | 10.22 | 12.87 | 15.92 | 18.53 | 19.69 |
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