水资源与水工程学报2017，Vol.28Issue(2)：115-119,5.DOI:10.11705/j.issn.1672-643X.2017.02.20
投影寻踪和BP网络在农村饮用水水质评价中的应用
Application of projection pursuit and BP neural network in assessment of drinking water quality in rural areas
摘要
Abstract
The increasingly drinking water pollution in rural areas have affected people's life.To capture the variation timely and to evaluate the water quality conditions based on monitoring data are of great importance.Based on the rural drinking water source characteristics,5 major pollutants were selected as the evaluation indexes which included fecal coliform,ammonia nitrogen,total phosphorus,permanganate index and dissolved oxygen,respectively.Projection pursuit evaluation model was established to evaluate water quality standard level and pursuit values of water samples.Then the two projection values would be matched to evaluate the levels of samples.BP neural network was used to study and predict the calculation results and test the rationality 11 surface water quality samples of Dingyuan County in Anhui Province during the wet and the dry seasons were collected for assessement.The results showed that,compared with common assessment methods,this model was of great accuracy and validity,which provided a new way for the comprehensive evaluation of water quality.关键词
投影寻踪/遗传算法/BP神经网络/水质评价/农村饮用水Key words
projection pursuit/genetic algorithm/BP neural network/water quality assessement/drinking water in rural areas分类
信息技术与安全科学引用本文复制引用
高颖,方国华,林泽昕..投影寻踪和BP网络在农村饮用水水质评价中的应用[J].水资源与水工程学报,2017,28(2):115-119,5.基金项目
江苏省水利科技项目(2015056) （2015056）
