Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1109/ICSCSE.2016.64 |
Xinjiang desertification disaster prediction research based on cellular neural networks | |
Zhang Fuxin1; Li Guodong2; Xu Wenxia3 | |
通讯作者 | Zhang Fuxin |
会议名称 | International Conference on Smart City and Systems Engineering (ICSCSE) |
会议日期 | NOV 25-26, 2016 |
会议地点 | Zhangjiajie, PEOPLES R CHINA |
英文摘要 | At present, the desertification disaster is one of the most serious environmental problems in Xinjiang. In order to reduce the huge losses of desertification disaster to the economic development of Xinjiang, at the same time in order to stability and unity of the people of all ethnic groups in Xinjiang, it is necessary to forecast the future trend of desertification changes. In this paper, taking Ruoqiang basin as an example, we establish desertification prediction model. First, use exponential smoothing model to carry on the numerical simulation for desertification land, the trend of desertification of land, non desertification land area in the area in 2000 -2011 years, Then, we examine forecasts by the MAPE, Desertification of land's MAPE value is 1.96%, have land desertification the land that having a trend of desertification's MAPE value is 7.13%, The predicted result achieves high accuracy prediction effect. Secondly, use exponential smoothing model to predict the land desertification, the desertification trend of land, non desertification land in 2012 - 2025 years, we again proved that exponential smoothing model has a huge advantage in the prediction of desertification trends. Finally draws the conclusion: the exponential smoothing model can predict the change trend of desertification land, having the trend of desertification land, non desertification land in the future. The research can provide a powerful reference and guidance for the prevention and control of desertification in the future, but also has theoretical meaning for desertification research in the future. |
英文关键词 | The Ruoqiang Basin Desertification The prediction model of exponential smoothing |
来源出版物 | 2016 INTERNATIONAL CONFERENCE ON SMART CITY AND SYSTEMS ENGINEERING (ICSCSE) |
出版年 | 2016 |
页码 | 545-548 |
EISBN | 978-1-5090-5530-2 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | CPCI-S |
WOS记录号 | WOS:000393315900139 |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Information Systems |
WOS研究方向 | Computer Science |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/305825 |
作者单位 | 1.Populat & Family Planning Bur Tancheng Cty, Linyi, Shandong, Peoples R China; 2.Xinjiang Univ Finance & Econ, Dept Appl Math, Urumqi, Peoples R China; 3.Xinjiang Weather Modificat Off, Urumqi, Xinjiang, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang Fuxin,Li Guodong,Xu Wenxia. Xinjiang desertification disaster prediction research based on cellular neural networks[C]:IEEE,2016:545-548. |
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