%0 Journal Article
%T A WATER QUALITY ASSESSMENT MODEL FOR TROPHIC STATE BASED ON B-P NEURAL NETWORK AND ITS VERIFICATION<br>基于B－P网络的水质营养状态评价模型及其效果检验
%A Li Zuoyong
%A <br>李祚泳
%J 环境科学学报
%D 1995
%I 
%X Taking three trophic states of water quality corresponding to TSIc 0, 50, 100 as three modeling samples,and the water quality parameters of chl-a, TP, TN and SD as input pa-rameters,a model of water quality assessment for trophic state based on B-P neural network was developed.Verification of trophic state assessment for water quality of 30 lakes in China was conducted as well.
%K neural netwrok
%K B-P algorithm
%K eutrophication
%K water quality assessment<br>人工神经网络
%K B－P算法
%K 富营养化
%K 水质
%K 评价
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=3FF3ABA7486768130C3FF830376F43B398E0C97F0FF2DD53&cid=A7CA601309F5FED03C078BCE383971DC&jid=03A55E61A8750ACAC6AF81EF9E2AC838&aid=565942E7D3038E5ECC3FE6ED7E24067C&yid=BBCD5003575B2B5F&vid=23CCDDCD68FFCC2F&iid=0B39A22176CE99FB&sid=50BBDFAC8381694B&eid=AC1578C6BB9EBDEF&journal_id=0253-2468&journal_name=环境科学学报&referenced_num=8&reference_num=4