Regression on Soft Sensing of Industrial Gas Turbines Case III
0.0145MAEVAE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| VAERegression Model=DNN2025.12 | 0.0145 | 0.0197 | |
| MR-GANRegression Model=DNN2025.12 | 0.0147 | 0.0188 | |
| RA-GANRegression Model=DNN2025.12 | 0.0154 | 0.0199 | |
| NoneRegression Model=DNN2025.12 | 0.0163 | 0.0221 | |
| RGAN-DDERegression Model=DNN2025.12 | 0.0214 | 0.0275 | |
| WGAN-GPRegression Model=DNN2025.12 | 0.0244 | 0.0367 | |
| RGAN-DDERegression Model=SVR2025.12 | 0.0247 | 0.0311 | |
| WGAN-GPRegression Model=SVR2025.12 | 0.0352 | 0.0483 | |
| MR-GANRegression Model=SVR2025.12 | 0.0414 | 0.0549 | |
| RA-GANRegression Model=SVR2025.12 | 0.0416 | 0.0576 | |
| NoneRegression Model=SVR2025.12 | 0.0548 | 0.0691 | |
| VAERegression Model=SVR2025.12 | 0.0552 | 0.075 | |
| Diffusion modelRegression Model=SVR2025.12 | 0.0611 | 0.0828 | |
| Diffusion modelRegression Model=DNN2025.12 | 0.0963 | 0.1256 |