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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