山西大学学报（自然科学版）2013，Vol.36Issue(2)：301-307,7.
基于BP神经网络的汾河水质评价
Application of BP Neural Network in Water Quality Evaluation of Fenhe River
摘要
Abstract
The 21 sections of Fenhe river were selected as the research objects and the water quality evaluation method was built based on BP neural network model.The evaluation results of BP were compared with that of single factor index evaluation method and comprehensive index evaluation method.The results showed that:1) Evaluation results of 67％ sections were the same according to the three methods,and 33％ sections were different.2) Evaluation results of BP neural network model were more comprehensive,objective,and effective than the other two methods.3) BP neural network model was proved to be a well-designed and strong anti-jamming evaluation method,and is a good tool to evaluate the water quality.关键词
BP神经网络/水质评价/汾河/地表水Key words
BP neural network / water quality evaluation / Fenhe river/ surface water分类
资源环境引用本文复制引用
盛夏,张红,苏超..基于BP神经网络的汾河水质评价[J].山西大学学报（自然科学版）,2013,36(2):301-307,7.基金项目
国家国际合作专项(2012DFA20770) （2012DFA20770）
山西省科技重大专项(20121101011) （20121101011）
