China's Forest Coverage Rate Forecasting Model Based on Gray System Theory

被引：0

作者：

Li, Zhuoshi ^{[1
]}

Wang, Wenqian ^{[1
]}

Cao, Lizong ^{[1
]}

Liu, Zhengwei ^{[1
]}

机构：

[1] Jilin Agr Univ, Changchun 130118, Jilin, Peoples R China

来源：

PROCEEDINGS OF THE 2015 5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND AUTOMATION ENGINEERING | 2016年 / 42卷

关键词：

the forest coverage rate; grey system theory; GM(1,1) model; residual correction method;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper, according to China in 1973-2013 in eight forest inventory published forest cover of statistical data. Using gray system theory GM (1,1) prediction model for China's forest coverage rate forecast. Then, the use of residues correction method for the prediction model is optimized to ensure the accuracy of the model by inspection. The results show a gray optimized forecasting model is applicable to China's forest coverage rate of medium and long term forecasting and prediction with high accuracy, and make the necessary preparations for the subsequent research forest coverage.

引用

页码：457 / 460

页数：4

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