Research Article
Metasurface-Based Solar Absorption Prediction System Using Artificial Intelligence
Table 2
Workflow of the proposed prediction model.
| | Name of layers | Description |
| | Input data | Featured metasurface solar absorbance | | ConV1 | 11 × 11 conv/stride 4 and [0 0 0 0] of padding | | ReLu1 | Activation 1 | | Pool1 | 3 × 3 max pooling/stride 2 and [0 0 0 0] of padding | | ConV 2 | 5 × 5 conv/stride 2 and [2 2 2 2] of padding | | ReLu 2 | Activation 2 | | Pool 2 | 3 × 3 max pooling/stride 2 and [0 0 0 0] of padding | | ConV 3 | 3 × 3 conv/stride 1 and [1 1 1 1] of padding | | ReLu 3 | Activation 3 | | Pool 3 | 3 × 3 max pooling/stride 2 and [0 0 0 0] of padding | | ConV 4 | 3 × 3 conv/stride 1 and [1 1 1 1] of padding | | ReLu4 | Activation 4 | | Pool 4 | 3 × 3 max pooling/stride 2 and [0 0 0 0] of padding | | ConV 5 | 3 × 3 conv/stride 1 and [1 1 1 1] of padding | | ReLu 5 | Activation 5 | | Pool 5 | 3 × 3 max pooling/stride 2 and [0 0 0 0] of padding | | Fully connected 1 | 4096FC | | Dropout | 50% | | Fully connected 2 | 4096FC | | Fully connected 3 | 1000FC | | Softmax | Softmax activation | | Ouptut | Absorption prediction |
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