微型电脑应用2016，Vol.32Issue(2)：51-53,3.
基于T-S模糊神经网络评价汉江干流汉中段水质
T-S Fuzzy Water Quality of Hanjiang River in Hanzhong Section Based on Neural Network Evaluation
摘要
Abstract
In order to evaluate the water environmental quality status accurately and objectively in Hanzhong stretch of Hanjiang mainstream, this paper uses T-S fuzzy neural network model to do analysis and evaluation to the water quality monitoring data got in the monitoring points of Hanzhong stretch of Hanjiang mainstream for five years in a row. The results shows that according to the six selected indicators of water quality monitoring data, the water quality of Hanzhong stretch of Hanjiang mainstream is relatively good, but the water quality of stretch through the town tends to be deteriorated, to which measures should be taken to protect. In this paper, TS fuzzy neural network used in water environmental quality assessment method is simple, reliable, high prediction accuracy, which can promote water quality evaluation.关键词
T-S模糊神经网络/汉江干流汉中段/水质评价Key words
T-S Fuzzy Neural Network/Hanjiang River in Hanzhong City/Water Quality Evaluation Research分类
计算机与自动化引用本文复制引用
高凯,贾伟..基于T-S模糊神经网络评价汉江干流汉中段水质[J].微型电脑应用,2016,32(2):51-53,3.基金项目
陕西理工学院科研计划资助项目(SLGKY12-04) （SLGKY12-04）
