Missile Hit Prediction and Factor Analysis Based on Random Forest
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.
random forestmissile hit predictionGini indexfactor analysis