摘要
该文指出了ＧＭ（１，１）模型用于预测的不足之处，采用指数曲线拟合最小二乘法补充了ＧＭ（１，１）模型的不足，建立了指数模型，实际应用精度较好。
The defects of GM(1,1)model have been pointed out in this paper.And it has been improved by using least square approxi-mation to fit exponential curve. The exponential model is established,and the accuracy in practical application is quite high.
出处
《南京理工大学学报》
CAS
CSCD
1994年第3期74-78,共5页
Journal of Nanjing University of Science and Technology
关键词
灰色预测
最小二乘拟合
指数模型
exponential functions,gray predictions,least square fitting
GM(1,1)model
