Open Access
Table 2.
CNN architecture and hyperparameter settings.
| Input | Layer | Size | Kernel_number | Stride | Output | Parameters |
|---|---|---|---|---|---|---|
| 2000*1 | Dense(128) | 2000*128 | 256 | |||
| 2000*50 | Conv1D | 1*1 | 128 | 1 | 2000*128 | 6528 |
| 2000*128 | MaxPooling1D | 2*1 | 1 | 1000*128 | 0 | |
| 1000*128 | Droupt | 20% | 1000*128 | 0 | ||
| 1000*128 | Conv1D | 8*1 | 64 | 1 | 993*64 | 65 600 |
| 993*64 | MaxPooling1D | 2*1 | 1 | 496*64 | 0 | |
| 496*64 | Droupt | 20% | 496*64 | 0 | ||
| 496*64 | Conv1D | 8*1 | 32 | 1 | 489*32 | 16 416 |
| 489*32 | Droupt | 20% | 489*32 | 0 | ||
| 489*32 | Conv1D | 8*1 | 16 | 1 | 482*16 | 4112 |
| 482*16 | Flatten | 7712 | 0 | |||
| 7712 | Dense(100) | 100 | 771 300 | |||
| 100 | Dense(7) | 7 | 707 | |||
| Loss | Mean squared error | |||||
| Optimizer (Adam) | Lr = 0.0003 | |||||
| Epoch | 100 | |||||
| Batch size | 16 | |||||
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