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Table 1.
Proposed CNN model architecture.
| Layer | Size | Activation |
|---|---|---|
| 1D convolutional | 7 | ReLU |
| 1D MaxPooling | 2 | |
| 1D convolutional | 5 | ReLU |
| 1D MaxPooling | 2 | |
| 1D convolutional | 3 | ReLU |
| Dropout | Factor of 0.15 | |
| Fully connected | 4 Times the spectral | |
| dense layer | points | ReLU |
| Fully connected | Total number of | |
| dense layer | atmospheric points | Linear |
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