System dynamics modeling on Self-sustained oscillator system small models
0.0001Median Inference ErrorPHNN-JR-DG
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PHNN-JR-DGNumber of training points=400, Model size=Small2026.02 | 0.0001 | 0.0001 | |
| PHNN-JR-DGNumber of training points=100, Model size=Small2026.02 | 0.0001 | 0.0001 | |
| NODE-RK2Number of training points=400, Model size=Small2026.02 | 0.0001 | 0.0001 | |
| PHNN-JR-RK2Number of training points=400, Model size=Small2026.02 | 0.0001 | 0.0002 | |
| NODE-RK2Number of training points=100, Model size=Small2026.02 | 0.0002 | 0.0001 | |
| PHNN-JR-RK2Number of training points=100, Model size=Small2026.02 | 0.0003 | 0.0003 | |
| PHNN-S-DGNumber of training points=100, Model size=Small2026.02 | 0.0017 | 0.0005 | |
| PHNN-JR-DGNumber of training points=25, Model size=Small2026.02 | 0.0017 | 0.0027 | |
| PHNN-S-RK2Number of training points=400, Model size=Small2026.02 | 0.0022 | 0.0008 | |
| PHNN-S-RK2Number of training points=100, Model size=Small2026.02 | 0.0026 | 0.0016 | |
| PHNN-S-DGNumber of training points=400, Model size=Small2026.02 | 0.0027 | 0.0011 | |
| PHNN-S-RK2Number of training points=25, Model size=Small2026.02 | 0.0043 | 0.0078 | |
| PHNN-S-DGNumber of training points=25, Model size=Small2026.02 | 0.0054 | 0.0036 | |
| PHNN-JR-RK2Number of training points=25, Model size=Small2026.02 | 0.0138 | 0.0248 | |
| NODE-RK2Number of training points=25, Model size=Small2026.02 | 0.0259 | 0.0221 |