水土保持通报2011，Vol.31Issue(4)：112-115,4.
BP神经网络在渭河水环境质量评价中的应用
Application of BP Neural Network on Water Environmental Quality Evaluation of Weihe River
摘要
Abstract
In order to evaluate the surface water environment quality accurately and objectively,the BP neural network with improved algorithms is introduced in water environmental quality evaluation.Water environment quality evaluation model of the Weihe River was constructed with recorded data of water quality during the period from Sep.7 to Oct.11 in 2010.Water quality of the Weihe River was evaluated through 3 water quality monitoring projects（NH3—N,potassium permanganate index,DO）,and the evaluation results by the BP neural network and by the environmental protection department were compared,and both evaluation results are identical.The results showed that the BP neural network model could well solve complex nonlinear relation between the evaluation factors and water quality levels,and the method was simple and reliable,and the forecast precision was high.The BP neural network for water environmental quality evaluation is objective,universal and practical.关键词
BP神经网络/地表水/环境质量评价/渭河Key words
BP neural network/surface water/environmental quality evaluation/Weihe River分类
资源环境引用本文复制引用
郭庆春,何振芳,李力,寇立群..BP神经网络在渭河水环境质量评价中的应用[J].水土保持通报,2011,31(4):112-115,4.基金项目
国家自然科学基金项目“环境耦合集体” （）
国家基点基础科学（973）发展计划项目“全球变化集成” （）
