Research Article
A GRU-Based Lightweight System for CAN Intrusion Detection in Real Time
Table 6
Training parameters used in GRU.
| Parameter name | Parameter |
| Epoch | 20 | Num of LSTM units | 40 | Num of dense units | 4 | Batch size | 64 | Learning rate | 0.01 | Weight decay | 1e − 8 | Optimizer | Adam [35] |
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