摘要
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 。
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.
出处
《中国给水排水》
EI
CAS
CSCD
北大核心
2000年第3期9-11,共3页
China Water & Wastewater
基金
国家自然科学基金资助项目 !(5 97780 2 1)
关键词
水质评价
隶属度
BP网络
water quality assessment
subordinate degree
BP network
