摘要
关重件是影响装备战备完好性的重要因素,准确的需求预测可以极大地提高装备的保障能力。基于支持向量机预测方法,构建了关重件需求时间序列预测模型,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,预测结果表明支持向量机的需求预测方法精度较高。
Critical part is an important factor of the equipment readiness,and accurate forecasting can improve the support efficiency for equipments greatly.The forecasting model of time series is constructed based on support vector machines.Then the paper establishes two dimension evaluating methods,including ratio of occurrence accuracy and demand quantity accuracy.The results conclude that the model based on support vector machines can get better forecasting precision.
出处
《信息技术》
2012年第1期156-158,共3页
Information Technology
关键词
支持向量机
关重件
需求预测
support vector machines
critical part
demand forecasting
