System dynamics modeling on Duffing oscillator system small models
0.0009Median Inference ErrorPHNN-S-DG
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PHNN-S-DGNumber of training points=400, Model size=Small2026.02 | 0.0009 | 0.0009 | |
| NODE-RK2Number of training points=400, Model size=Small2026.02 | 0.0037 | 0.0027 | |
| PHNN-JR-RK2Number of training points=400, Model size=Small2026.02 | 0.0062 | 0.0099 | |
| PHNN-JR-DGNumber of training points=400, Model size=Small2026.02 | 0.0079 | 0.0048 | |
| PHNN-S-DGNumber of training points=100, Model size=Small2026.02 | 0.0081 | 0.0493 | |
| PHNN-S-RK2Number of training points=400, Model size=Small2026.02 | 0.0092 | 0.0061 | |
| PHNN-JR-DGNumber of training points=100, Model size=Small2026.02 | 0.0183 | 0.0255 | |
| PHNN-S-RK2Number of training points=100, Model size=Small2026.02 | 0.0207 | 0.0185 | |
| PHNN-JR-RK2Number of training points=100, Model size=Small2026.02 | 0.0213 | 0.0315 | |
| PHNN-S-DGNumber of training points=25, Model size=Small2026.02 | 0.0706 | 4.37 | |
| NODE-RK2Number of training points=100, Model size=Small2026.02 | 0.0762 | 0.262 | |
| PHNN-S-RK2Number of training points=25, Model size=Small2026.02 | 0.0935 | 4.54 | |
| NODE-RK2Number of training points=25, Model size=Small2026.02 | 0.409 | 1.01 | |
| PHNN-JR-DGNumber of training points=25, Model size=Small2026.02 | 0.436 | 1.19 | |
| PHNN-JR-RK2Number of training points=25, Model size=Small2026.02 | 0.582 | 2.96 |