| 基于B－P网络的水质营养状态评价模型及其效果检验 |
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| 引用本文： | 李祚泳.基于B－P网络的水质营养状态评价模型及其效果检验[J].环境科学学报,1995,15(2):186-191. |
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| 作者姓名： | 李祚泳 |
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| 作者单位： | 成都气象学院,成都 610041 |
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| 摘 要： | 选取与ＴＳＩｃ为０，５０，１０相应的水质营养状态作为３个建模样本，以ｃｈｌ－ａ，ＴＰ，ＴＮ和ＳＤ４个水质参数作为样本的输入特征，建立了Ｂ－Ｐ网络的水质营养状态评价模型。该模型应用于全国３０个湖泊水质的营养状态评价，获得了较好的检验效果。
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| 关 键 词： | 人工神经网络 B－P算法 富营养化 水质 评价 |
| 收稿时间： | 1993/11/23 0:00:00 |
A WATER QUALITY ASSESSMENT MODEL FOR TROPHIC STATE BASED ON B-P NEURAL NETWORK AND ITS VERIFICATION |
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| Li Zuoyong.A WATER QUALITY ASSESSMENT MODEL FOR TROPHIC STATE BASED ON B-P NEURAL NETWORK AND ITS VERIFICATION[J].Acta Scientiae Circumstantiae,1995,15(2):186-191. |
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| Authors: | Li Zuoyong |
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| Institution: | Chengdu Institute of Meteorology, Chengdu 6l0041 |
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| Abstract: | 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. |
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| Keywords: | neural netwrok B-P algorithm eutrophication water quality assessment |
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