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东湖沉积物营养状况的BP神经网络模型研究
引用本文:李政,方涛,王坎,蔡俊雄. 东湖沉积物营养状况的BP神经网络模型研究[J]. 环境科学与技术, 2011, 34(12): 110-113,155. DOI: 10.3969/j.issn.1003-6504.2011.12.023
作者姓名:李政  方涛  王坎  蔡俊雄
作者单位:1. 湖北省环境科学研究院,湖北武汉430072;中国科学院水生生物研究所,湖北武汉430072
2. 中国科学院水生生物研究所,湖北武汉,430072
3. 湖北省环境科学研究院,湖北武汉,430072
基金项目:国家水专项课题资助(2008ZX07103-001)
摘    要:运用人工神经网络对东湖沉积物营养状况进行了模拟研究.以东湖三个样点柱状沉积物的TN、TP、TOC、SRP、TSL、pH6个因子作为网络模型的输入变量,建立了训练样本和测试样本,同时采用有机指数值作为输出变量,对东湖沉积物营养状况进行评价分析.通过模型分析,结果显示东湖沉积物处于肥污染状态.在2008年6月采得的数据样本...

关 键 词:人工神经网络  BP模型  营养状况  肥力评价

Neutral Networks Model for Nutrient States of Sediment Sample in Lake Donghu
LI Zheng,FANG Tao,WANG Kan,CAI Jun-xiong. Neutral Networks Model for Nutrient States of Sediment Sample in Lake Donghu[J]. Environmental Science and Technology, 2011, 34(12): 110-113,155. DOI: 10.3969/j.issn.1003-6504.2011.12.023
Authors:LI Zheng  FANG Tao  WANG Kan  CAI Jun-xiong
Affiliation:LI Zheng1,2,FANG Tao2,WANG Kan1,CAI Jun-xiong1(1.Hubei Environmental Science Academy,Wuhan 430072,China,2.Institute of Hydrobiology,Chinese Academy of Sciences,China)
Abstract:An artificial neutral network model was developed to evaluate the nutrient states of sediment sample in Lake Donghu,Wuhan.With six factors such as TN,TP,TOC,SRP,TSL and pH chosen as the input,the training sample and testing sample were established,and results of organic assessment were chosen as output to evaluate the nutrient.Through analysis of model,results of fertility assessment showed that the organic index in the whole Lake is higher than standard level of fertility in sediment.Six samples which were...
Keywords:artificial neutral network  BP network model  nutrition  fertility assessment  
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