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

DOI

10.2991/iccsae-15.2016.86How to use a DOI?

Keywords

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

Abstract

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 .

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhuoshi Li
AU  - Wenqian Wang
AU  - Lizong Cao
AU  - Zhengwei Liu
PY  - 2016/02
DA  - 2016/02
TI  - China's Forest Coverage Rate Forecasting Model Based on Gray System Theory
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 457
EP  - 460
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.86
DO  - 10.2991/iccsae-15.2016.86
ID  - Li2016/02
ER  -