System dynamics modeling on Harmonic oscillator system small models
0Median Inference ErrorPHNN-S-RK2
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PHNN-S-RK2Number of training points=400, Model size=Small2026.02 | 0 | 0 | |
| PHNN-S-DGNumber of training points=400, Model size=Small2026.02 | 0 | 0 | |
| PHNN-JR-RK2Number of training points=400, Model size=Small2026.02 | 0 | 0 | |
| PHNN-S-RK2Number of training points=100, Model size=Small2026.02 | 0 | 0 | |
| PHNN-S-DGNumber of training points=100, Model size=Small2026.02 | 0 | 0 | |
| PHNN-JR-RK2Number of training points=100, Model size=Small2026.02 | 0 | 0 | |
| PHNN-JR-DGNumber of training points=400, Model size=Small2026.02 | 0 | 0 | |
| PHNN-JR-DGNumber of training points=100, Model size=Small2026.02 | 0 | 0 | |
| NODE-RK2Number of training points=400, Model size=Small2026.02 | 0 | 0 | |
| PHNN-S-DGNumber of training points=25, Model size=Small2026.02 | 0 | 0.0001 | |
| PHNN-S-RK2Number of training points=25, Model size=Small2026.02 | 0 | 0.0002 | |
| PHNN-JR-RK2Number of training points=25, Model size=Small2026.02 | 0.0001 | 0.0001 | |
| NODE-RK2Number of training points=100, Model size=Small2026.02 | 0.0002 | 0.0002 | |
| PHNN-JR-DGNumber of training points=25, Model size=Small2026.02 | 0.0003 | 0.0004 | |
| NODE-RK2Number of training points=25, Model size=Small2026.02 | 0.0253 | 0.0233 |