Research Article
[Retracted] CNN-GRU-AM for Shared Bicycles Demand Forecasting
Table 9
Performance comparison of different models on three datasets.
| <!—Col Count:10>Models | Longgang Central City | Pingshan Street | Zhaoshang Street | RMSE | MAE | MAPE | RMSE | MAE | MAPE | RMSE | MAE | MAPE |
| LSTM | 36.92 | 27.44 | 161.06 | 20.13 | 16.33 | 26.84 | 38.03 | 25.70 | 71.74 | GRU | 31.71 | 22.33 | 134.55 | 19.12 | 14.92 | 23.00 | 37.11 | 25.07 | 62.30 | CNN | 28.38 | 19.51 | 103.99 | 16.21 | 12.25 | 18.55 | 35.82 | 24.36 | 56.28 | GRU-CNN | 27.09 | 17.18 | 81.23 | 15.23 | 11.50 | 17.35 | 35.13 | 23.77 | 48.24 | CNN-GRU | 26.32 | 16.74 | 61.11 | 15.10 | 11.37 | 16.09 | 33.81 | 23.02 | 43.52 | CNN-GRU-AM | 26.96 | 16.67 | 49.56 | 14.02 | 10.36 | 14.15 | 31.13 | 20.77 | 39.01 |
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