摘要
对于多变量非等间距数据序列,建立了一类GM(1,m)预测模型。基于灰色模型的指数特性和积分定义,提出了构造多变量非等间距序列的GM(1,m)模型背景值的方法。该方法可以提高GM(1,m)模型的拟合精度和预测精度,拓广了灰色模型的应用范围。应用该方法,建立了中国农村青少年生长水平的灰色预测模型,结果理想可靠,有较好的实际意义。
For multivariable non-equidistance sequence, a grey forecast model GM （1, m） is established. Based upon the exponential trait of the grey model and the definition of integral, a construction method of the GM （1, m） model＇s background value of multivariable non-equidistance sequence is put forward. Moreover, the GM （1, m） model＇s fitting precision and prediction precision are advanced and the scope of application is enlarged. As the application, a forecast model of growth level of China countrysied teenagers is established. By the realistic example,the result is proved to be precise and reliable.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2007年第3期388-390,共3页
Systems Engineering and Electronics
