Regression on Lotka Volterra predator-prey system (train)
0.0106MSE (Data)DAEHN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DAEHNBest Epoch=4550, num_epochs=5000, model_depth=4, hidden_dim=32, lr=0.001, num_points=2000 out of 2000, hardnet_reg_factor=100, taylor_offset=0.1, taylor_order=1, eta=1, newton_step_length=1, max_newton_iter=102025.12 | 0.0106 | 0.0004 | 0 | |
| PINNBest Epoch=4780, num_epochs=5000, model_depth=4, hidden_dim=32, lr=0.001, num_points=2000 out of 2000, pinn_reg_factor=12025.12 | 0.0197 | — | 4.97 | |
| MLPBest Epoch=4260, num_epochs=5000, model_depth=4, hidden_dim=32, lr=0.001, num_points=2000 out of 20002025.12 | 0.0217 | — | 12 |