摘要
为了对水质富营养化程度进行综合评价，提出水质富营养化决策的人工神经网络模型，用此模型研究我国１７个湖泊的富营养化状况，通过期望输出值的选取和对未知水体的评价原则充分体现了水质富营养化各等级之间的模糊性，正确地反映了水质富营养化作用的内部机理。
The neural network model for water quality nutrition evaluation of lakes was presented in this paper, which seventeen lakes in our country were studied.The results show that the neural network is good, and therefore it is a feasible and effective method.
出处
《中国环境科学》
EI
CAS
CSSCI
CSCD
北大核心
1995年第2期123-127,共5页
China Environmental Science
关键词
水质
富营养化
评价
神经网络
数学模型
water quality nutrition evaluation, neural networks,back propagation model.
