基于BP神经网络方法的城市土地生态安全评价--以广州市为例

EVALUATION ON ECOLOGICAL SECURITY OF URBAN LAND BASED ON BP NEURAL NETWORK——A CASE STUDY OF GUANGZHOU

选取18个指标构建城市土地生态安全评价指标体系,运用BP神经网络方法评价城市土地生态安全。研究结果:2006年及2007年广州市土地生态安全等级为Ⅲ,2008年安全等级为Ⅳ。研究结论:BP神经网络通过对历史数据的学习,能够实现城市土地生态安全评价,对探索城市土地生态安全评价方法具有重要意义。

Ecological safety evaluation of urban land provides the basis for promoting urban ecological security.18 indicators were chose to set up the evaluation system.By using BP neural network method,the study followed is trying to evaluate ecological security of urban land.And the result shows that the security level of Guangzhou＇s in 2006 and 2007 are both Ⅲ,and it＇s Ⅳ in 2008.Finally,BP neural network is able to achieve the purpose no evaluating the ecological security of urban land.And it takes an important part in exploring a new way for security of urban land as well.