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BP神经网络在洞庭湖湿地生态系统健康评价中的应用
引用本文:薛亮,冯超,吴中虹,何龙,吕勇. BP神经网络在洞庭湖湿地生态系统健康评价中的应用[J]. 林业调查规划, 2009, 34(5): 47-50. DOI: 10.3969/j.issn.1671-3168.2009.05.011
作者姓名:薛亮  冯超  吴中虹  何龙  吕勇
作者单位:1. 中南林业科技大学,湖南长沙,410004
2. 义乌市出入境检验检疫局,浙江义乌,322000
基金项目:湖南省教育厅重点科研项目《湖南省湿地资源分类与评价》
摘    要:介绍BP神经网络评价原理、方法,并以洞庭湖湿地生态系统健康评价为例,对评价指标体系构建、湿地生态系统健康度设定、BP学习训练、BP神经网络的可行性检验进行了论述.评价结果,2001~2003年洞庭湖湿地生态系统的健康度分别为0.64、0.62和0.58,健康程度从亚健康向较不健康转变,认为必须及时采取合理的保护及湿地资源开发利用措施以逆转恶化趋势.

关 键 词:BP神经网络  湿地生态系统  健康评价  洞庭湖  

The application of Neural Network BP to Healthy Assessment of Wetland Ecosystem in Dongting Lake
XUE Liang,FENG Chao,WU Zhong-hong,HE Long,LU Yong. The application of Neural Network BP to Healthy Assessment of Wetland Ecosystem in Dongting Lake[J]. Forest Inventory and Planning, 2009, 34(5): 47-50. DOI: 10.3969/j.issn.1671-3168.2009.05.011
Authors:XUE Liang  FENG Chao  WU Zhong-hong  HE Long  LU Yong
Affiliation:1.Central South University of Forestry and Technology;Changsha Hunan 410004;China;2.Yiwu Entry-Exit Inspection and Quarantine Bureau;Yiwu Zhejiang 322000;China
Abstract:The paper introduces the principle and method for BP neural network assessment,taking healthy assessment of wetland ecosystem of Dongting Lake as an example,and elaborates assessment indicator system,healthy assumption,BP learning and training,the feasibility of BP neural network.The result of the assessment reveals that the healthy degree of the lake' s ecosystem is 0.64,0.62,and 0.58 from 2001 to 2003 in order,tending to transform from sub-healthy to unhealthy.It concerns that it is necessary to take effe...
Keywords:BP neural network  wetland ecosystem  healthy assessment  Dongting Lake  
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