STUDY ON IMPROVED BP ARTIFICIAL NEURAL NETWORKS IN EUTROPHICATION ASSESSMENT OF CHINA EASTERN LAKES

被引：29

作者：

Jiang Yaping ^{[1
]}

Xu Zuxin ^{[1
]}

Yin Hailong ^{[1
]}

机构：

[1] Tongji Univ, Coll Environm Sci & Engn, Shanghai 200092, Peoples R China

来源：

JOURNAL OF HYDRODYNAMICS | 2006年 / 18卷 / 03期

关键词：

eutrophication; artificial neural network; lake; assessment;

D O I：

10.1016/S1001-6058(06)60107-8

中图分类号：

O3 [力学];

学科分类号：

08 ; 0801 ;

摘要：

An improved back propagation artificial neural network model for eutrophication evaluation of China eastern was constructed, and a new approach producing training set data, testing set data and critical values set data distributed a normal distribution between the critical values was established. The model was applied to 4 eastern lakes and the results shows that the method is suitable for eutrophication assessment of lakes.

引用

页码：528 / 532

页数：5

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