基于BP神经网络方法的济宁市土地生态安全评价研究  

Evaluation on Ecological Security of Land in Jining Based on BP Neural Network

作　　者：魏宁宁[1,2] 荆延德[1,2] 

机构地区：[1]曲阜师范大学地理与旅游学院,山东日照276826 [2]山东省高校南四湖湿地生态与环境保护重点实验室,山东济宁273165

出　　处：《广东土地科学》2013年第4期37-42,共6页Guangdong Land Science

摘　　要：以济宁市为例,选取21个指标构建土地生态安全评价指标体系,运用BP神经网络方法评价土地生态安全。研究结果表明:济宁市2009年和2010年的土地生态安全等级为Ⅲ级,2011年的安全等级为Ⅳ级;研究结论:采用BP神经网络评价方法能够实现对土地生态安全的评价,对于探索土地生态安全评价方法具有重要的参考价值。Taking Jining as an example, 21 indicators were chosen to set up the evaluation index system of land ecological security. By using BP neural network method, the study was trying to evaluate city ecological security of land. Research result showed that the security level of Jining＇s in 2009 and 2010 are both HI, and its IV in 2011. Finally, BP neural network is able to achieve the purpose on evaluating the eco- logical security of urban land, and it provides some reference value in exploring a new way for evaluation of city ecological security of land as well.

关 键 词：土地生态安全 BP神经网络 济宁市 

分 类 号：F301.21[经济管理—产业经济]