黄河水质综合评价的人工神经网络模型

The Models of Artificial Neural Networks for Comprehensive Assessment of Yellow River Water Quality

为探讨水质综合评价的客观方法 ,以黄河兰州段新城桥段面水质资料为例 ,建立了地表水水质综合评价的BP网络模型 BP网络模型以单输出代替多输出可保证评价结果的惟一性 .将该模型用于实例分析表明 ,BP网络用于水质综合评价具有客观性和实用性 .

Based on data of the water quality from Xincheng bridge in Lanzhou reaches of Yellow river,the authors setup a models of artificial neural networks BP networks presented for comprehensive assessment of water quality and the BP network model in which the multi unit of output employed by other researchers is substituted by single unit output .The result derived from the BP neural network is unique. The assessment result of water quality from an example showed that it possesses objectivity and practicability for assessing water environment quality by BP networks.