摘要
本文从GM(1,1)建模特点出发,提出了一种置零建模的新方法(简记为GM0(1,1)法).该方法用于灰色预测时,可使n维非负序列预测所需的观测数据个数从n个减少为n-1个,从而使采样和GM(1,1)化[1]过程得到优化。
Based on the characteristic Of GM(1,l) modelling, the paperPresents a new method Of zero setting modelling (labeled GM(1,1) method).Whell applied to grey fore ̄ing, it can decrease obserVatioll data needed forestablishing a forecasting model of n-dimenSion non-negative seqience fromn to n-1, thus enaviing the Process of Sampling and GM(1,1) tranSformationto be optimized. This method is of practical value.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
1996年第5期108-112,共5页
Systems Engineering-Theory & Practice
关键词
置零序列
置零建模法
GM(1
1)模型
灰色系统
non-negative sequence
non-negative random arable
observation value sequence
zero setting sequence
zero satting modelling