State Estimation on Synthetic Stochastic Process Equation 29 1.0 (test)
2.993Posterior MeanKalman Gain Method
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Kalman Gain MethodStep=12025.12 | 2.993 | 0.336 | 0.671 | — | — | |
| Message PassingStep=12025.12 | 2.993 | — | 0.671 | — | — | |
| SNN Message PassingStep=12025.12 | 3.029 | — | 0.654 | — | — | |
| SNN Message PassingStep=22025.12 | 5.408 | — | 0.484 | — | — | |
| Kalman Gain MethodStep=22025.12 | 5.434 | 0.254 | 0.508 | — | — | |
| Message PassingStep=22025.12 | 5.434 | — | 0.508 | — | — | |
| SNN Message PassingStep=32025.12 | 7.853 | — | 0.382 | — | — | |
| Kalman Gain MethodStep=32025.12 | 7.86 | 0.206 | 0.411 | — | — | |
| Message PassingStep=32025.12 | 7.86 | — | 0.411 | — | — | |
| Kalman Gain MethodStep=102025.12 | — | — | — | 24.419 | 0.222 | |
| Message PassingStep=102025.12 | — | — | — | 24.419 | 0.222 | |
| SNN Message PassingStep=102025.12 | — | — | — | 24.804 | 0.113 |