Regression on Oxidation of CO by O2 (train)
0.0002MSE (Data)MLP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MLPBest Epoch=3560, num_epochs=5000, model_depth=4, hidden_dim=32, lr=0.001, num_points=2000 out of 2000, pinn_reg_factor=1, hardnet_reg_factor=1, taylor_offset=0.01, taylor_order=1, eta=0.001, newton_step_length=1, max_newton_iter=10, noise_std=1, noise_mean=0, noise_scale=0.012025.12 | 0.0002 | — | 1.42 | |
| PINNBest Epoch=4920, num_epochs=5000, model_depth=4, hidden_dim=32, lr=0.001, num_points=2000 out of 2000, pinn_reg_factor=1, hardnet_reg_factor=1, taylor_offset=0.01, taylor_order=1, eta=0.001, newton_step_length=1, max_newton_iter=10, noise_std=1, noise_mean=0, noise_scale=0.012025.12 | 0.0002 | — | 0.0047 | |
| DAE-HardNetBest Epoch=4760, num_epochs=5000, model_depth=4, hidden_dim=32, lr=0.001, num_points=2000 out of 2000, pinn_reg_factor=1, hardnet_reg_factor=1, taylor_offset=0.01, taylor_order=1, eta=0.001, newton_step_length=1, max_newton_iter=10, noise_std=1, noise_mean=0, noise_scale=0.012025.12 | 0.0008 | 0.0009 | 0 |