Research Article
Aerodynamic Parameter Identification of Projectile Based on Improved Extreme Learning Machine and Ensemble Learning Theory
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| ELM | 0.61 | 0.75 | 0.89 | 0.16 | 0.14 | IPSO-ELM | 0.72 | 0.77 | 0.92 | 0.57 | 0.62 | ELM-AdaBoost | 0.83 | 0.81 | 0.94 | 0.89 | 0.86 | IPSO-ELM-AdaBoost | 0.90 | 0.85 | 0.97 | 0.92 | 0.91 |
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(b) MSE of four algorithms |
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| ELM | | | | | | IPSO-ELM | | | | | | ELM-AdaBoost | | | | | | IPSO-ELM-AdaBoost | | | | | |
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(c) MAPE (%) of four algorithms |
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| ELM | 25.8 | 28.4 | 9.6 | 55.2 | 71.2 | IPSO-ELM | 29.6 | 23.9 | 5.5 | 47.7 | 15.9 | ELM-AdaBoost | 10.2 | 20.7 | 5.8 | 10.3 | 9.2 | IPSO-ELM-AdaBoost | 7.1 | 18.4 | 4.1 | 10.0 | 8.3 |
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