Table 4 Comparative results of GAN and NSGAN methods in generation performance
Model | Data generated | Average elongation | Average UTS | Samples within pre-defined criterion (%) | Average novelty |
|---|---|---|---|---|---|
GAN | 1,000,000 | 13.15% | 317.4 MPa | 116 (0.01) | 0.0096 |
GA+ML | 4000 | 31.32% | 302.73 MPa | 563 (14.07) | 0.0199 |
NSGAN | 4000 | 18.97% | 453.91 MPa | 163 (4.08) | 0.0145 |
