Open Access
Table 4.
Structure and parameters of attention
| Network Structure | Layer | Kernel parameters | Output dimension |
|---|---|---|---|
 |
Input | – | (None, 2, Ns) |
| Convolution/BN/ReLU | (64, 9) | (None, 64, Ns) | |
| Max pooling | (4) | (None, 64, Ns/4) | |
| Residual block1 | (64, 7) | (None, 64, Ns/4) | |
| Max pooling | (2) | (None, 64, Ns/8) | |
| Residual block1 | (64, 7) | (None, 64, Ns/8) | |
| Max pooling | (2) | (None, 64, Ns/16) | |
| Attention | (64) | (None, 64, Ns/16) | |
| Residual block2 | (128, 7) | (None, 128, Ns/16) | |
| Max pooling | (2) | (None, 128, Ns/32) | |
| Residual block2 | (128, 7) | (None, 128, Ns/32) | |
| Max pooling | (2) | (None, 128, Ns/64) | |
| Attention | (128) | (None, 128, Ns/16) | |
| Residual block3 | (256, 5) | (None, 256, Ns/64) | |
| Max pooling | (2) | (None, 256, Ns/128) | |
| Residual block3 | (256, 5) | (None, 256, Ns/128) | |
| Max pooling | (2) | (None, 256, Ns/256) | |
| Attention | (256) | (None, 256, Ns/256) | |
| Residual block4 | (300, 5) | (None, 300, Ns/256) | |
| Adaptive average pooling | – | (None, 300) | |
| Fc | – | (None, NUE) | |
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