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基于SVM的雷达装备器材间断性需求预测
引用本文:许绍杰,谭贤四,聂涛,张衡.基于SVM的雷达装备器材间断性需求预测[J].现代雷达,2011,33(6):87-90.
作者姓名:许绍杰  谭贤四  聂涛  张衡
作者单位:空军雷达学院陆基预警监视装备系,武汉,430019
摘    要:准确的器材需求预测可以极大地提高雷达装备的保障能力。针对关重件需求预测问题,基于支持向量机理论,提出了间断性需求时间序列的预测模型,建立了预测需求是否发生和需求量准确度的二维预测结果误差评价机制,通过实验进行了需求预测和参数影响分析。结果表明:基于向量机的预测能很好解决雷达器材间断性需求预测的难题。

关 键 词:支持向量机  雷达装备器材  间断性需求  预测

Forecasting of Intermittent Demand for Radar Equipment Material Based on SVM
XU Shao-jie,TAN Xian-si,NIE Tao,ZHANG Heng.Forecasting of Intermittent Demand for Radar Equipment Material Based on SVM[J].Modern Radar,2011,33(6):87-90.
Authors:XU Shao-jie  TAN Xian-si  NIE Tao  ZHANG Heng
Affiliation:XU Shao-jie,TAN Xian-si,NIE Tao,ZHANG Heng(Department of Land-based Early Warning Surveillance Equipment,Air Force Radar,Wuhan 430019,China)
Abstract:Accurate forecasting can improve the support efficiency of radar equipments material greatly.Focus on the demand forecasting of critical parts,the forecasting model for intermittent demand time series is proposed based on support vector machine.Then the evaluating method in view of occurrence accuracy and demand quantity accuracy are established.Finally,several experiments were realized for forecasting and parameters analysis.The results concluded that the model based on support vector machine can solve the...
Keywords:support vector machine  radar equipment material  intermittent demand  forecasting  
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