资源与产业 ›› 2010, Vol. 12 ›› Issue (2): 31-34.

• 资源评价 • 上一篇    下一篇

基于BP神经网络的城市土地集约利用评价——以湖北省鄂州为例

常 胜1,2,李江风1   

  1. (1中国地质大学 资源学院,湖北 武汉 430074;
     2湖北民族学院 生物科学与技术学院,湖北 恩施 445000)
  • 收稿日期:2009-08-21 修回日期:2010-01-12 出版日期:2010-04-20 发布日期:2010-04-20
  • 作者简介:常胜(1979— ),男,博士生、讲师,主要从事土地评价与管理方面的研究。 E-mail:hbmychangsheng@163.com

A CASE STUDY ON EZHOU: EVALUATION OF URBAN INTENSIVE LAND UTILIZATION BASED ON BP NEURAL NETWORKS

CHANG Sheng1, 2, LI Jiangfeng1   

  1. (1School of Resources, China University of Geosciences, Wuhan 430074, China; 
    2School of Biological Science and Technology, Hubei Institute for Nationalities, Enshi 445000, China)
  • Received:2009-08-21 Revised:2010-01-12 Online:2010-04-20 Published:2010-04-20

摘要:

传统土地集约利用评价方法受人的主观因素影响较大,评价结果不够准确。采用人工神经网络进行土地集约利用评价,可简化评价过程,避免主观影响。本文建立城市土地集约利用评价的BP神经网络模型,并以湖北省鄂州为例,进行城市土地利用集约评价,网络输出结果显示:鄂州城市土地利用处于中等集约水平。该评价结果与鄂州城市土地利用实际情况相一致。

关键词: 城市土地集约利用评价, BP神经网络, 鄂州

Abstract:

The traditional evaluation methods of intensive land utilization are highly influenced by subjective factors, thus the evaluation results are not accurate enough. This paper sets up the BP neural network model of urban intensive land utilization evaluation to study urban land utilization of Ezhou, Hubei. The results show that urban land utilization of Ezhou is at medium intensive level, which is consistent with the actual land utilization in Ezhou.

Key words: evaluation of urban intensive land utilization, backpropagation neural networks, Ezhou Municipal

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