Table 9.
Hyper-parameters of each model.
| Data Sets | Models | Learning Rate | Batch Size | Epoch | Optimizer |
|---|---|---|---|---|---|
| Raw | LSTM | 0.01 | 64 | 50 | Adam |
| Bidirectional LSTM | 0.001 | 128 | 100 | ” | |
| CNN- LSTM | 0.01 | 64 | 200 | ” | |
| CNN-Bidirectional LSTM | 0.001 | 64 | 500 | ” | |
| Power | LSTM | 0.0001 | 64 | 300 | ” |
| Bidirectional LSTM | 0.001 | 32 | 300 | ” | |
| CNN- LSTM | 0.01 | 128 | 500 | ” | |
| CNN-Bidirectional LSTM | 0.001 | 64 | 500 | ” | |
| Relative | LSTM | 0.0001 | 128 | 500 | ” |
| Bidirectional LSTM | 0.001 | 32 | 300 | ” | |
| CNN- LSTM | 0.001 | 64 | 300 | ” | |
| CNN-Bidirectional LSTM | 0.01 | 64 | 300 | ” |