Table 4 Simulation environment.
From: Synthetic healthcare data utility with biometric pattern recognition using adversarial networks
Parameter | Value/ Description |
|---|---|
Simulation tool | MATLAB (Simulink) and MD Clone for data conversions |
Augmentation scale | 1x, 2x to 100x for health care data |
Learning rate | 0.001 |
Data batch size | 124 |
Conversion noise level | 0 to 1 |
Output biometric resolution | 256 × 256 |
Number of samples | 1,000,000 |
Validation model | Testing (70%) and training (30%) |
Output channel | Time series format |
