Parameter Estimation on Engine Gas Flow Dynamics Noisy normalized scale 0-1 (online test)
1.004A_egrmaxmulti-stage transfer learning scheme
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| multi-stage transfer learning schemeDURATION (MIN)=3 ∼ 4, Data points per known variables=301, Noise level=pem = 3%, pim = 3%, ωl = 1%, Wegr = 5%, Tem = 3%2024.12 | 1.004 | 1.019 | 0.993 | 0.978 | |
| multi-stage transfer learning schemeDURATION (MIN)=0 ∼ 1, Data points per known variables=301, Noise level=pem = 3%, pim = 3%, ωl = 1%, Wegr = 5%, Tem = 3%2024.12 | 0.997 | 1.021 | 0.999 | 0.999 | |
| multi-stage transfer learning schemeDURATION (MIN)=1 ∼ 2, Data points per known variables=301, Noise level=pem = 3%, pim = 3%, ωl = 1%, Wegr = 5%, Tem = 3%2024.12 | 0.952 | 1.011 | 1.007 | 1.021 | |
| multi-stage transfer learning schemeDURATION (MIN)=2 ∼ 3, Data points per known variables=301, Noise level=pem = 3%, pim = 3%, ωl = 1%, Wegr = 5%, Tem = 3%2024.12 | 0.803 | 0.974 | 0.998 | 0.984 | |
| multi-stage transfer learning schemeDURATION (MIN)=4 ∼ 5, Data points per known variables=301, Noise level=pem = 3%, pim = 3%, ωl = 1%, Wegr = 5%, Tem = 3%2024.12 | 0.793 | 1.002 | 0.997 | 0.985 |