Table 4.
Parameters of the bi-directional prediction approach.
| Category | Item | Value |
|---|---|---|
| Forward Prediction | Learning Factor (C1,C2) | 1.5 |
| Speed Factor (wmax) | 0.9 | |
| Speed Factor (wmin) | 0.4 | |
| Velocity Maximum | 0.5 | |
| Maximum Step | 100 | |
| Classify Number | 350 | |
| Particle Number | 10 | |
| Size of Training Input Data | (3000 × 4) | |
| Size of Training Output Data | (3000 × 4) | |
| Size of Input Centers | (350 × 4 × 4) | |
| Size of Output Centers | (350 × 4) | |
| Size of Weights | (350 × 4) | |
| Backward Reasoning | Population Size | 40 |
| Generations Number | 1000 | |
| Objectives Number | 5 | |
| Variables Number | 4 |