Assessment of water quality of Nansi Lake using BP neural network based on MATLAB

被引：0

作者：

Qun, Miao ^{[1
]}

Hui, He ^{[1
]}

Yang, Hai ^{[1
]}

Li, Yue ^{[1
]}

Liu, Zhiqiang ^{[1
]}

机构：

[1] Qingdao Univ, Qingdao 266033, Shandong, Peoples R China

来源：

2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES: ITESS 2008, VOL 2 | 2008年

关键词：

comprehensive assessment of water quality; BP neural network; sample extension; Nansi Lake;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Three-layer multifactor neural network model for water quality assessment is built by improved BP algorithm. CODCr, NH3-N, TP and TN act as assessment factors to evaluate water quality of up and down Nansi Lake, and the leading reason that water quality over standard is analyzed based on the present water quality.

引用

页码：1066 / 1071

页数：6

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