收稿日期: 2009-02-05
修回日期: 2009-03-11
网络出版日期: 2009-07-15
基金资助
中国科学院知识创新工程重要方向项目(KZCX2-YW-321-03)和中国科学院知识创新重大项目(KZCX2-XB2-03-03)资助
Analysis of construction land by back-propagation neural network model with Xinjiang as a case
Received date: 2009-02-05
Revised date: 2009-03-11
Online published: 2009-07-15
段祖亮 , 张小雷 , 权晓燕 . 基于BP神经网络模型的新疆建设用地分析[J]. 中国科学院大学学报, 2009 , 26(4) : 451 -457 . DOI: 10.7523/j.issn.2095-6134.2009.4.004
Taking Xinjiang as an example, we establish a predicting model by using BP neural network, and make a prediction of construction land in 2007. The model learning samples are from the social-economic statistical data between 1996 and 2006. The results show that the relative error between the predicted and actual value is only 0.06％, and the BP neural network has higher precision and better effectiveness than traditional methods. Some strategic countermeasures are put forward for sustainable land use in Xinjiang.
Key words： BP neural network model; construction land; influencing factor; prediction; Xinjiang
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