基于支持向量机的飞机地面结冰冰型分类预测

摘要

飞机结冰严重影响飞机的安全性,而不同结冰类型对飞机的危害程度也不同.文中提出了一种飞机结冰冰型预测模型,该方法将支持向量机应用于飞机结冰冰型分类.首先对各类结冰冰型影响因子进行分析,在此基础上建立了基于支持向量机的飞机结冰冰型分类模型.采用基于支持向量机的分类模型对飞机地面结冰进行了冰型识别,并与BP神经网络的分类模型进行了识别效果对比.试验结果表明,在小样本条件下,该方法具有分类准确度高、推广能力较强等优点,有良好的应用前景.%Aircraft icing can seriously affect the safety of aircraft,and different types of aircraft icing has an effect on the aircraft safety to various extents. A SVM (Support Vector Machine) model for aircraft icing type prediction is presented to classify aircraft icing type. The input variables of icing type are analyzed, and then based on the analysis, the appropriate forecasting methods are chosen and an SVM model for aircraft icing type classification is established. The SVM-based classification model is employed to identify aircraft ground icing type and compared with the classification model based on BP neural network. The experimental results showed that the model based on the SVM method can supply high forecast accuracy,strong generalization ability with small samples,and have good application prospect.