Solving transport equation on Transport Shift transport equation 4.4, initial conditions 4.9 (test)
1.51Relative Test ErrorConv-Weld-4
Evaluation results
| Method | Links | |
|---|---|---|
| Conv-Weld-4Number of training samples=602025.12 | 1.51 | |
| Conv-Weld-4Number of training samples=902025.12 | 1.54 | |
| Conv-Weld-2Number of training samples=902025.12 | 1.68 | |
| Conv-Weld-4Number of training samples=302025.12 | 1.73 | |
| Conv-Weld-4Number of training samples=1802025.12 | 1.8 | |
| Conv-Weld-4Number of training samples=1502025.12 | 1.83 | |
| Conv-Weld-2Number of training samples=602025.12 | 1.86 | |
| Conv-Weld-4Number of training samples=1202025.12 | 1.86 | |
| Conv-Weld-2Number of training samples=1502025.12 | 1.87 | |
| Conv-Weld-2Number of training samples=2702025.12 | 1.88 | |
| Conv-Weld-2Number of training samples=1202025.12 | 1.89 | |
| Conv-Weld-4Number of training samples=2702025.12 | 2 | |
| Conv-Weld-2Number of training samples=302025.12 | 2.07 | |
| Conv-Weld-2Number of training samples=1802025.12 | 2.08 | |
| Conv-Weld-2Number of training samples=3002025.12 | 2.1 | |
| Conv-Weld-2Number of training samples=2102025.12 | 2.13 | |
| Conv-Weld-4Number of training samples=2102025.12 | 2.13 | |
| Conv-Weld-2Number of training samples=2402025.12 | 2.21 | |
| Conv-Weld-4Number of training samples=3002025.12 | 2.27 | |
| Conv-Weld-4Number of training samples=2402025.12 | 2.31 | |
| Conv-AENetNumber of training samples=2102025.12 | 2.54 | |
| Conv-AENetNumber of training samples=1802025.12 | 2.75 | |
| FF-Weld-2Number of training samples=902025.12 | 2.76 | |
| Conv-AENetNumber of training samples=1502025.12 | 2.76 | |
| Conv-AENetNumber of training samples=602025.12 | 2.79 | |
| FF-Weld-2Number of training samples=302025.12 | 2.83 | |
| Conv-AENetNumber of training samples=1202025.12 | 2.93 | |
| FF-Weld-2Number of training samples=602025.12 | 2.95 | |
| FF-Weld-4Number of training samples=602025.12 | 2.97 | |
| FF-Weld-2Number of training samples=1502025.12 | 3.05 | |
| FF-Weld-2Number of training samples=1202025.12 | 3.08 | |
| FF-Weld-4Number of training samples=302025.12 | 3.1 | |
| Conv-AENetNumber of training samples=302025.12 | 3.12 | |
| Conv-AENetNumber of training samples=3002025.12 | 3.19 | |
| Conv-AENetNumber of training samples=2402025.12 | 3.2 | |
| Conv-AENetNumber of training samples=2702025.12 | 3.21 | |
| Conv-AENetNumber of training samples=902025.12 | 3.3 | |
| FF-Weld-4Number of training samples=902025.12 | 3.53 | |
| FF-Weld-4Number of training samples=1802025.12 | 3.57 | |
| FF-Weld-4Number of training samples=1202025.12 | 3.72 | |
| FF-Weld-4Number of training samples=2102025.12 | 3.74 | |
| FF-Weld-2Number of training samples=1802025.12 | 4.05 | |
| FF-Weld-4Number of training samples=1502025.12 | 4.32 | |
| FF-Weld-4Number of training samples=2402025.12 | 4.57 | |
| LDNetNumber of training samples=302025.12 | 5.03 | |
| LDNetNumber of training samples=602025.12 | 5.21 | |
| FF-Weld-4Number of training samples=2702025.12 | 5.59 | |
| LDNetNumber of training samples=902025.12 | 5.65 | |
| FF-Weld-4Number of training samples=3002025.12 | 5.87 | |
| LDNetNumber of training samples=1202025.12 | 5.89 | |
| LDNetNumber of training samples=1502025.12 | 5.98 | |
| FF-Weld-2Number of training samples=3002025.12 | 5.99 | |
| LDNetNumber of training samples=2102025.12 | 6.09 | |
| LDNetNumber of training samples=1802025.12 | 6.16 | |
| LDNetNumber of training samples=2402025.12 | 6.18 | |
| FF-Weld-2Number of training samples=2702025.12 | 6.31 | |
| LDNetNumber of training samples=2702025.12 | 6.64 | |
| TimeInputNumber of training samples=2702025.12 | 9.55 | |
| TimeInputNumber of training samples=902025.12 | 9.66 | |
| LDNetNumber of training samples=3002025.12 | 10.29 | |
| TimeInputNumber of training samples=3002025.12 | 10.31 | |
| TimeInputNumber of training samples=1202025.12 | 10.35 | |
| TimeInputNumber of training samples=2402025.12 | 10.48 | |
| TimeInputNumber of training samples=1802025.12 | 10.59 | |
| TimeInputNumber of training samples=602025.12 | 10.65 | |
| TimeInputNumber of training samples=1502025.12 | 10.85 | |
| Latent-DONNumber of training samples=602025.12 | 10.88 | |
| Latent-DONNumber of training samples=302025.12 | 11.2 | |
| Latent-DONNumber of training samples=1502025.12 | 11.61 | |
| TimeInputNumber of training samples=2102025.12 | 11.88 | |
| Latent-DONNumber of training samples=2102025.12 | 12.52 | |
| FF-Weld-2Number of training samples=2402025.12 | 12.73 | |
| Latent-DONNumber of training samples=1202025.12 | 13.96 | |
| Latent-DONNumber of training samples=2402025.12 | 14.12 | |
| TimeInputNumber of training samples=302025.12 | 14.35 | |
| Latent-DONNumber of training samples=1802025.12 | 14.38 | |
| Latent-DONNumber of training samples=2702025.12 | 14.73 | |
| Latent-DONNumber of training samples=902025.12 | 15.19 | |
| FF-Weld-2Number of training samples=2102025.12 | 17.27 | |
| Latent-DONNumber of training samples=3002025.12 | 30.16 | |
| HDPNumber of training samples=302025.12 | 30.34 | |
| PCA-WeldNet-4Number of training samples=902025.12 | 59.05 | |
| PCA-WeldNet-4Number of training samples=2402025.12 | 59.06 | |
| PCA-WeldNet-4Number of training samples=602025.12 | 60.55 | |
| PCA-WeldNet-4Number of training samples=2102025.12 | 60.55 | |
| PCA-WeldNet-4Number of training samples=1202025.12 | 60.87 | |
| PCA-WeldNet-4Number of training samples=2702025.12 | 60.95 | |
| PCA-WeldNet-4Number of training samples=1502025.12 | 61.59 | |
| PCA-WeldNet-4Number of training samples=3002025.12 | 61.76 | |
| PCA-WeldNet-4Number of training samples=302025.12 | 67.73 | |
| PCA-WeldNet-4Number of training samples=1802025.12 | 67.77 | |
| PCA-WeldNet-2Number of training samples=902025.12 | 68.5 | |
| PCA-WeldNet-2Number of training samples=1202025.12 | 69.88 | |
| PCA-WeldNet-2Number of training samples=2402025.12 | 69.98 | |
| PCA-WeldNet-2Number of training samples=2702025.12 | 71.5 | |
| PCA-WeldNet-2Number of training samples=602025.12 | 71.77 | |
| PCA-WeldNet-2Number of training samples=1502025.12 | 72.1 | |
| PCA-WeldNet-2Number of training samples=3002025.12 | 73.26 | |
| PCA-WeldNet-2Number of training samples=2102025.12 | 74.01 | |
| FF-AENetNumber of training samples=302025.12 | 76.4 |