摘要
针对灰色GM(1,1)预测模型提高精度的问题,提出了新的背景值优化公式代替传统的背景值优化公式,再进行边值修正的方法.该方法采用新的背景值优化公式求出紧邻均值生成序列,并使用均方误差和最小准则,针对原始序列和生成序列进行边值的修正.通过对优化后的模型实证测算,验证了修正后的模型在提高预测精度上的可行性和有效性.
To improve the accuracy of GM(1,1) prediction model, a new optimization model based on the combination of optimized background value and the boundary value was proposed. This method used a new optimal background value formula generates the mean sequence, then by minimizing the sum of the squared error, gave calculation method of determine the boundary value correction. The simulation result verifies that the proposed method is feasible and efficient.
出处
《系统工程理论与实践》
EI
CSSCI
CSCD
北大核心
2013年第3期682-688,共7页
Systems Engineering-Theory & Practice
关键词
GM(1
1)模型
背景值
边值条件
信息化指数
GM(1,1) model
background value
boundary conditions
informatization index