Table 3.
Network hyperparameters.
| Parameter | Value | ||
|---|---|---|---|
| Periodic feature-extraction layer | Convolution Layer 1 | Convolution Layer 2 | |
| Kernel dimension | 7*1 | 5*1 | |
| Stride size | 5*1 | 5*1 | |
| Amount of kernels | 32 | 64 | |
| Pooling dimension | 3*1 | 3*1 | |
| Pooling stride size | 2*1 | 1*1 | |
| Rhythm feature-extraction layer | kernel dimension | 7*3 | 5*3 |
| Stride size | 5*1 | 5*3 | |
| Amount of kernels | 32 | 64 | |
| Pooling dimension | 3*1 | 3*1 | |
| Pooling stride size | 2*1 | 1*1 | |
| Recursive network layer | Input channels | 235 | |
| Number of hidden nodes | 32 | ||
| Bidirectional | True | ||
| Dropout | 0.5 | ||
| Cycle length of PWC | 235 | ||
| Unit cycle | N | ||
| Reasoning layers | Feature dimension*32/32*2 | ||
| Batch size | 64 | ||
| Optimizer | Adam | ||