摘要
精确化保障已成为航空武器弹药保障发展的新趋势。针对弹药消耗数量预测建模难的问题,基于统计学习理论,采用SVR方法,建立了某型弹药消耗量的预测模型。仿真试验结果表明,SVR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。
The precision support is a new trend for the development of aeronautical weapon ammo support.Aiming at the problem of hard forecast modeling for ammo wastage,the forecast model of one ammo wastage is established by using of SVR method based on statistical learning theory.The simulation results show that SVR 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
2010年第12期8-10,17,共4页
Fire Control & Command Control
基金
国家自然科学基金资助项目(60572172)
关键词
支持向量机
回归型支持向量机
预测建模
support vector machines
Support Vector Regression（SVR）
forecast modeling
