Operator Learning (xi -> u) on Stochastic Ginzburg-Landau (test)
0.006Relative L2 ErrorNSPDE
Evaluation Results
| Method | Links | |
|---|---|---|
| NSPDENumber of training samples (N)=100002021.10 | 0.006 | |
| NSPDENumber of training samples (N)=10002021.10 | 0.009 | |
| FNONumber of training samples (N)=100002021.10 | 0.027 | |
| FNONumber of training samples (N)=10002021.10 | 0.032 | |
| NCDENumber of training samples (N)=100002021.10 | 0.056 | |
| DeepONetNumber of training samples (N)=100002021.10 | 0.061 | |
| NCDE-FNONumber of training samples (N)=100002021.10 | 0.066 | |
| NRDENumber of training samples (N)=100002021.10 | 0.07 | |
| NCDE-FNONumber of training samples (N)=10002021.10 | 0.071 | |
| NCDENumber of training samples (N)=10002021.10 | 0.112 | |
| DeepONetNumber of training samples (N)=10002021.10 | 0.126 | |
| NRDENumber of training samples (N)=10002021.10 | 0.129 |