航空工程进展2025，Vol.16Issue(2)：79-85,92,8.DOI:10.16615/j.cnki.1674-8190.2025.02.09
面向飞行学员的飞行训练影响因素研究
Study on the factors affecting flight training for trainee pilots
摘要
Abstract
In the field of aviation,the flight skills of trainee pilots are directly related to aviation safety and opera-tional efficiency.Based on the training data of flight trainees from a branch of Civil Aviation Flight University of China,the Pearson correlation coefficient is introduced to evaluate the strength of the relationship between features and target variable.Based on the correlation coefficients,the key factors influencing flight training are identified,and a novel decision tree model based on Pearson correlation coefficients is established.By optimizing the model with various thresholds and tree depths,its performance in accuracy,precision,recall,and F1 score is optimized.The performance of the new model is compared with random forest,multilayer perception(MLP),logistic regres-sion,decision tree and enhanced gradient boosting decision tree model.The results show that the new model is of superior performance,and can provide the effective guidance for flight training,and offer the theoretical support for the evaluation of flight training.关键词
飞行学员/飞行训练/影响因素/机器学习/决策树/Pearson相似度Key words
trainee pilots/flight training/affect factors/machine learning/decision tree/Pearson correlation coef-ficient引用本文复制引用
赵运祥,梁泽剑,黄宏,梁爱民,徐海文..面向飞行学员的飞行训练影响因素研究[J].航空工程进展,2025,16(2):79-85,92,8.基金项目
国家自然科学基金面上项目(12371301) （12371301）
民航飞行技术与飞行安全重点实验室项目(FZ2022ZZ05,FZ2022ZX35,FZ2022ZX60) （FZ2022ZZ05,FZ2022ZX35,FZ2022ZX60）
中央高校基本科研业务费资助项目(PHD2023-056) （PHD2023-056）
民航安全能力建设基金(ASSA2022/241) （ASSA2022/241）
