Research Article
Aerodynamic Parameter Identification of Projectile Based on Improved Extreme Learning Machine and Ensemble Learning Theory
Table 2
Test results of different test functions.
| Function | Algorithm | Size | Max | Min | Mean | Iteration | Theoretical value |
| Sphere | PSO | 50 | 0.515 | 0.034 | 0.130 | 600 | 0 | 100 | 0.050 | 0.004 | 0.018 | 400 | 0 | 150 | 0.006 | 0.001 | 0.002 | 350 | 0 | IPSO | 50 | 0.178 | 0.023 | 0.096 | 450 | 0 | 100 | | | | 300 | 0 | 150 | | | | 200 | 0 |
| Schaffer | PSO | 50 | 0.037 | 0.008 | 0.011 | 650 | 0 | 100 | 0.037 | 0.009 | 0.010 | 450 | 0 | 150 | 0.009 | | 0.008 | 400 | 0 | IPSO | 50 | 0.013 | 0.005 | 0.010 | 500 | 0 | 100 | 0.001 | | | 300 | 0 | 150 | | | | 200 | 0 |
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