基于随机森林的导弹命中预测与因素分析

Missile Hit Prediction and Factor Analysis Based on Random Forest

论文提出了一种基于随机森林算法的导弹命中预测和因素分析模型,旨在提高导弹命中率并找出影响命中结果的关键因素。该模型应用于实际导弹打击事件的预测,并通过与实际结果的对比验证了其准确性和可靠性,进一步证明了其在空空导弹发射命中预测工程中的应用潜力。此外,通过对关键因素的合理性分析,为提高装备测试性能水平提供了有价值的对策和建议。

This paper presents a missile hit prediction and factor analysis model based on the random forest algorithm,aiming to improve missile accuracy and identify key factors affecting the hit result.The model is applied to predict actual missile strike events,and its accuracy and reliability have been validated through a comparison with real-world results,further demonstrating its potential application in air-to-air missile launch hit prediction engineering.Additionally,through a rational analysis of the key fac-tors,valuable strategies and recommendations are provided to improve equipment testing performance.