Research Article
Air Target Threat Assessment Based on Improved Moth Flame Optimization-Gray Neural Network Model
Table 4
Ten sets of target threat database data.
| Serial number | Threat level | Target type | Damage ability | Interference ability | Airway angle (°) | Target speed (m/s) | Target distance (km) | Threat value |
| 1 | 0.63 | BA | 0.922 | Strong | 9 | 400 | 100 | 0.5707 | 2 | 0.34 | BA | 0.796 | Medium | 17 | 450 | 200 | 0.5333 | 3 | 0.35 | FB | 0.523 | Super strong | 5 | 600 | 100 | 0.6895 | 4 | 0.23 | FB | 0.674 | Medium | 18 | 550 | 240 | 0.5587 | 5 | 0.21 | AH | 0.646 | Weak | 12 | 110 | 150 | 0.7142 | 6 | 0.15 | PGB | 0.525 | No | 13 | 300 | 5 | 0.3015 | 7 | 0.25 | AGM | 0.884 | No | 11 | 740 | 40 | 0.5256 | 8 | 0.17 | CM | 0.746 | No | 9 | 690 | 15 | 0.5344 | 9 | 0.23 | TBM | 0.875 | No | 13 | 880 | 50 | 0.6188 | 10 | 0.13 | ARM | 0.627 | No | 16 | 750 | 8 | 0.6426 |
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