摘要
针对飞机保障性预测评估建模难的问题,基于统计学习理论,采用LS-SVM方法,建立了飞机保障性的预测模型。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 the problem of hard forecast evaluation modeling for supportability,the forecast model of supportability is established by using of LS-SVM method based on statistical learning theory.The simulation results show that LS-SVM has high modeling precision and strong generalization.Therefore the method mentioned above is valid and advanced.
出处
《火力与指挥控制》
CSCD
北大核心
2011年第10期115-118,共4页
Fire Control & Command Control
关键词
支持向量机
最小二乘支持向量机
飞机
保障性
support vector machines
least squares support vector machines(LS-SVM)
aircraft
supportability