Research Article
Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction
Table 12
Summary of results for 2DCNN.
| Architecture | Activation function | Mean | RMSE | MAPE | IOA | R2 |
| CNN | Linear | 19.6121 | 0.2407 | 0.8697 | 0.5928 | ReLU | 22.1328 | 0.2706 | 0.8232 | 0.4814 | Sigmoid | 26.0486 | 0.3214 | 0.6712 | 0.3927 | Softplus | 22.7749 | 0.2649 | 0.7656 | 0.4798 | Total | 22.6421 | 0.2717 | 0.7842 | 0.4867 |
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