水环境质量的隶属度BP网络决策模型

将误差反向传播人工神经网络（ＢＰ网络）应用于水质评价，并且在网络中引入隶属度的概念，建立了水环境质量综合评价的ＢＰ模型。以重庆南川凤嘴江水质资料为案例，对模型精确性进行了测试，结果表明：隶属度ＢＰ网络用于评价水质客观、合理，有其独特的优越性。

Subordinate Degree BP Network Decision Model for Water Quality Assessment

A back propagation (BP) artificial nerve network was used in water quality assessment, and a concept of subordinate degree was introduced into the network and a BP model for comprehensive assessment of water quality was set up. The accuracy of the model was examined with the data of water quality of Fengzuijiang River in Chongqing. The results proved that subordinate degree PB network was objective and reasonable with a special advantage when used in water quality assessment.