Research Article
Temperature Forecasting via Convolutional Recurrent Neural Networks Based on Time-Series Data
Table 3
Performance of CRNN model.
| | Criterions | Values |
| | Mean average error | 0.907 | | Root mean squared error | 1.697 | | Accuracy when prediction error is smaller than 1°C | 0.689 | | Accuracy when prediction error is smaller than 2°C | 0.830 | | Accuracy when prediction error is smaller than 3°C | 0.914 |
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