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灰色GM(1,1)模型的一种优化组合方法
引用本文:李茂林,魏勇.灰色GM(1,1)模型的一种优化组合方法[J].西华师范大学学报(哲学社会科学版),2007,28(1):40-44.
作者姓名:李茂林  魏勇
作者单位:西华师范大学数学与信息学院 四川南充637002(李茂林),西华师范大学研究生处 四川南充637002(魏勇)
基金项目:四川省教育厅重点科研课题基金资助项目(2006A077)
摘    要:针对GM(1,1)预测模型的不足之处,首先基于X(0)序列的相对误差平方和最小的思路,提出了一种新的优化时间响应函数即确定指数函数exp(-at)系数C的方法;第1步采用优化背景值方法确定a,b后,第2步用本文方法确定系数C,得到了一个优化组合的新GM(1,1)预测模型.经大量的数据模拟发现,此优化组合新模型无论对高增长系数,还是对低增长系数都具有极高的模拟与预测精度.

关 键 词:GM(1  1)模型  背景值  时间响应函数
文章编号:1673-5072(2007)01-0040-05
修稿时间:2006-09-25

An Optimal Combination Method of the GM(1,1) Model
LI Mao-lin ,WEI Yong.An Optimal Combination Method of the GM(1,1) Model[J].Journal of China West Normal University:Natural Science Edition,2007,28(1):40-44.
Authors:LI Mao-lin  WEI Yong
Affiliation:1. College of Math and Information, China West Normal University, Nanchong 637002, China; 2. Dept. of Graduate Students, China West Normal University; Nanchong 637002, China
Abstract:Aiming at the disadvantage of GM(1,1) forecasting model,this paper firstly utilizes a train of thought that the sum of relative error square function of sequence x(0) is the smallest,puts forward a new optimal time response function,that is a method to define the coefficient of exponential function e-at;Then,after deciding a,b through the method of optimizing background value in document at the first step,the second one uses our new method to decide the coefficient c,yields a new optimal combination GM(1,1) forecasting model.The simulation of a great deal of data finds that the new optimal combination model has extremely.The simulation of a great deal of data finds that the new optimal combination model has extremely high simulating and forecasting precision both to high and low developing coefficient.
Keywords:GM(1  1) model  background value  time response sequence
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