首页 | 本学科首页   官方微博 | 高级检索  
     

基于BP神经网络模型的宿州市人均生态足迹预测研究
引用本文:邵大伟,张小林,吴殿鸣. 基于BP神经网络模型的宿州市人均生态足迹预测研究[J]. 国土与自然资源研究, 2011, 0(2): 47-48
作者姓名:邵大伟  张小林  吴殿鸣
作者单位:1. 南京师范大学地理科学学院,南京,210046
2. 南京林业大学森林资源与环境学院,南京,210037
摘    要:利用人均生态足迹对宿州市生态形势进行评价,发现1997-2004年生态环境趋于恶化,经济快速发展过度消耗资源,并对环境造成一定程度危害,而2005~2007年生态环境趋于好转且态势平稳;并发现人均生态足迹的变化是宿州市生态安全形势的表征因子.在此基础上利用BP神经网络模型对宿州市1997-2005年生态足迹变化的影响因...

关 键 词:人均生态足迹  宿州市  BP神经网络模型  预测

Study on the Prediction of Average Ecological Footprint of Suzhou Based on BP Neural Network Model
SHAO Da-wei et al. Study on the Prediction of Average Ecological Footprint of Suzhou Based on BP Neural Network Model[J]. Territory & Natural Resources Study, 2011, 0(2): 47-48
Authors:SHAO Da-wei et al
Affiliation:SHAO Da-wei et al(College of Geographical Science,Nanjing Normal University,Nanjing 210046,China)
Abstract:Ecological situation of Suzhou was evaluated by average ecological footprint.The result showed that ecological environment was becoming worse from 1997 to 2004.The rapid development of economy had taken damage to the resources and environment seriously.But the ecological environment tended to optimization smoothly from 2005 to 2007.The change of Suzhou ecology situation was affected by average ecological footprint primarily.Average ecological footprint and influence factors of Suzhou from 1997 to 2005 were ...
Keywords:Average Ecological Footprint  Suzhou  BP Neural Network Model  Prediction  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号