摘要
针对飞行事故率预测建模难的问题,基于统计学习理论,采用LS-SVM方法,建立了飞行事故率的预测模型。仿真试验结果表明,LS-SVM具有很高的建模精度和较强的泛化能力,从而验证了该方法的有效性和先进性。
Aiming at a hard problem to crack for the forecast modeling for/light accident rates, the forecast model of flight accident rates is established by using of the LS-SVM method based on statistical learning theory. The simulation results show that this LS-SVM method has high modeling precision and strong generalization. Therefore the method mentioned above is valid and advanced.
出处
《飞行力学》
CSCD
北大核心
2009年第3期74-77,共4页
Flight Dynamics
基金
国家自然科学基金资助项目(60572172)
关键词
最小二乘支持向量机
飞行事故率
预测建模
least squares support vector machine (LS-SVM)
flight accident rate
forecast modeling