基于T-S模糊神经网络的飞行学员飞行技能评价模型构建研究

Construction of Flight Skills Evaluation Model for Flight Cadets Based on T⁃S Fuzzy Neural Network

为准确评价飞行学员飞行技能的优劣,在分析飞行学员起落航线各飞行阶段任务的基础上,参照飞行训练手册并结合与教员的访谈,建立了飞行学员飞行技能评价指标体系。运用T-S模糊神经网络搭建的飞行技能评价模型实现对飞行学员飞行技能评价,采集118名飞行学员飞行数据(有效数据110组),80组数据用于训练模型,30组数据用于测试,以验证模型评价的适用性和精确度。结果表明:T-S模糊神经网络具有很好的学习效率,评价飞行学员飞行技能准确度为976%,该方法构建出的评价模型应用于飞行学员飞行技能评价有效可行。

To better evaluate the flight skills of flight cadets,based on the tasks of flight cadets in each flight phase of the takeoff and landing route,an evaluation index system of flight skills of flight cadets was constructed by referring to the flight training manual and interviewing with the instructor.The flight skill evaluation model built by T-S fuzzy neural network could realize the evaluation of the flight cadets’flight skills.A total of 118 flight cadets’flight data were collected,with 110 sets of valid data.80 sets of data were used for model training,and 30 sets of data were used for testing to validate the applicability and accuracy of the model evaluation.The results showed that T-S fuzzy neural network was equipped with good learning efficiency.The evaluation precision reached 976%.The evaluation model constructed by this method was effective and feasible for the evalua-tion of flight cadets’flight skills.