摘要
在灰色GM(1,1)模型的基础上,利用高斯正交化插值对灰色GM(1,1)模型进行了背景值的重构,以消除传统灰色预测模型带来的预测偏差问题;利用该模型对新疆近十年的GDP水平进行了预测分析,结果表明,该模型具有较高的预测精度和的实效性.
On the basis of grey GM(1,1) model, the background value of gray GM(1,1) model is reconstructed by gauss orthogonalization interpolation to eliminate prediction bias caused by traditional grey prediction model.The model has been used to predict the GDP of xinjiang for nearly ten years, and the results show that the model has high prediction accuracy and effectiveness.
作者
田梓辰
刘淼
TIAN Zi-chen;LIU Miao;School of Mathematics and Statistic;Yili Normal University;
出处
《伊犁师范学院学报(自然科学版)》
2018年第2期17-21,共5页
Journal of Yili Normal University:Natural Science Edition
基金
伊犁师范学院研究生科研创新项目(2016YSY012)
关键词
灰色预测模型
背景值
高斯正交化插值
grey prediction model
background value
Gauss orthogonalization interpolation