Application of BP neural network model in water quality evaluation in Yanqi Basin, Xinjiang, China

被引：0

作者：

Cao, Yinglan ^{[1
]}

Jin, Menggui ^{[1
]}

Liu, Yanfeng ^{[1
]}

机构：

[1] China Univ Geosci, Wuhan 430074, Peoples R China

来源：

GEOPHYSICAL SOLUTIONS FOR ENVIRONMENT AND ENGINEERING, VOL 1 AND 2 | 2006年

关键词：

artificial neural network (ANN); BP neural network (BPNN); water quality evaluation; integrated contaminative index (ICI); yanqi basin;

D O I：

暂无

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Water environmental pollution has uncertainty and fuzziness, which results from many influential factors. In this paper, the authors use BP neural network and Integrated Contaminative Index to evaluate surface water and groundwater quality in Yanqi basin. The results show that the BP neural network model can resolve primely complicated non-linear relation between evaluating factors and water quality grade, and the method is objective, practical and applicable in water quality evaluation.

引用

页码：844 / 847

页数：4

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