重庆理工大学学报（自然科学版）2017，Vol.31Issue(8)：199-203,5.DOI:10.3969/j.issn.1674-8425(z).2017.08.032
应用优化GM(1,1)模型的农民消费水平预测研究
Prediction of the Consumption Level for Peasants Based on GM(1,1) Optimization Model
摘要
Abstract
To make the the background and the gray value of traditional gray GM (1,1) model more coordinated, this paper does some optimization on the background value.Based on the optimized grey GM (1,1) model, this paper selects the level of consumption of Chinese farmers from 2000 to 2014, and predicts the consumption level of Chinese farmers in the next few years.The results show that, GM (1,1) optimization model can reduce the prediction error, and improve the prediction accuracy, so it is suitable for short-term prediction;at the same time, the consumption level of peasants over the next few years will keep a steady growth, and it will reach 19 303 yuan by 2020, which is beneficial to achieve steady economy growth in China.关键词
灰色预测/GM(1,1)模型/农民消费水平Key words
grey prediction/GM(1,1)model/consumption level of peasants分类
数学引用本文复制引用
李海阳..应用优化GM(1,1)模型的农民消费水平预测研究[J].重庆理工大学学报（自然科学版）,2017,31(8):199-203,5.基金项目
国家自然科学基金资助项目(71081340331) （71081340331）
