文章摘要
王 锦 力.基于BP神经网络和模糊聚类分析的露天煤矿地下水质量评价Journal of Water Resources and Water Engineering[J].,2013,24(3):138-141
基于BP神经网络和模糊聚类分析的露天煤矿地下水质量评价
Evaluation of groundwater quality in open coal mine based on BP neural network and fuzzy clustering analysis
Received:January 12, 2013  
DOI:10.11705/j.issn.1672-643X.2013.03.032
中文关键词: 模糊聚类分析  环境质量评价  地下水  BP神经网络
英文关键词: fuzzy cluster analysis  environmental quality assessment  groundwater  BP neural network
基金项目:辽宁省教育厅科研项目(L2012111); 中国煤炭工业协会科学技术研究指导性计划项目(MTKJ2012-319)
Author NameAffiliation
WANG Jinli College of Civil Engineering,Liaoning Technical University, Fuxin 12300,China [KH*5D] 
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中文摘要:
      针对阜新新邱露天煤矿排土场淋溶水对附近于家沟地区地下水环境质量的影响所存在的问题,对研究区内的17眼水井分别采样,进行水质分析,采用模糊聚类分析方法对影响区地下水质量进行了评价,再利用BP神经网络对数据进行训练的和预测,研究了隐层节点对预测精度的影响,根据研究结论可确定出该区域地下水污染范围,具有一定的工程应用参考价值。
英文摘要:
      Aimed at the problems of influence of Fuxin Xinqiu surface mine dump leaching water on groundwater environmental quality near Yujiagou,17wells in the study area were sampled for water quality analysis. Fuzzy clustering analysis method was used to evaluate the groundwater quality of the area.Then BP neural network was used to train and forecast.The influence of hidden layer node on prediction accuracy was also studied. The conclusion can determine the scope of groundwater pollution in the region and has a certain reference value of engineering application.
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