Research Article

Metasurface-Based Solar Absorption Prediction System Using Artificial Intelligence

Table 2

Workflow of the proposed prediction model.

Name of layersDescription

Input dataFeatured metasurface solar absorbance
ConV111 × 11 conv/stride 4 and [0 0 0 0] of padding
ReLu1Activation 1
Pool13 × 3 max pooling/stride 2 and [0 0 0 0] of padding
ConV 25 × 5 conv/stride 2 and [2 2 2 2] of padding
ReLu 2Activation 2
Pool 23 × 3 max pooling/stride 2 and [0 0 0 0] of padding
ConV 33 × 3 conv/stride 1 and [1 1 1 1] of padding
ReLu 3Activation 3
Pool 33 × 3 max pooling/stride 2 and [0 0 0 0] of padding
ConV 43 × 3 conv/stride 1 and [1 1 1 1] of padding
ReLu4Activation 4
Pool 43 × 3 max pooling/stride 2 and [0 0 0 0] of padding
ConV 53 × 3 conv/stride 1 and [1 1 1 1] of padding
ReLu 5Activation 5
Pool 53 × 3 max pooling/stride 2 and [0 0 0 0] of padding
Fully connected 14096FC
Dropout50%
Fully connected 24096FC
Fully connected 31000FC
SoftmaxSoftmax activation
OuptutAbsorption prediction