BP神经网络方法在城市土地生态安全评价中的应用——以武汉市为例

摘要

Take Wuhan as an example, 21 indicators were chose to set up the evaluation index system of land ecological security. By using BP neural network method, all indicators data as input for the neural network training, and get the sub-level of security evaluation results. And the result shows that the security level of Wuhan' s in 2008 and 2009 are both general safety, and its safer in 2010. Finally, BP neural network method is a feasible land ecological security evaluation method.%以武汉市为例,选取21个指标构建土地生态安全评价指标体系,选用BP神经网络方法,通过输入指标数据对网络进行训练,评定出武汉市土地生态安全等级.结果表明,2008、2009年武汉市土地生态安全为一般安全等级,2010年为较为安全等级.BP神经网络是一种切实可行的高信度的生态安全评价方法.