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

共 15 条

[1]

[Anonymous], ENV POLLUT CONTROL

[2]

CAI YD, 1995, CHINA ENV SCI, V2, P123

[3]

Duan huanfeng, 2005, J U SCI TECHNOLOGY S, V6, P53

[4]

[江涛 Jiang Tao], 2005, [湖泊科学, Scientia Limnologica Sinica], V17, P378

[5]

JIN XC, 1990, EUTROPHICATION CHINA, P136

[6]

LAI TH, 2003, J GUANGXI ACAD SCI, V2, P35

[7]

LIU SW, 1996, SHANGHAI ENV SCI, P11

[8]

[刘霞 Liu Xia], 2003, [环境科学研究, Research of Environmental Sciences], V16, P27

[9]

QIN QR, 2000, MARINE ENV SCI, V5, P43

[10]

Sakamoto M, 1996, ARCH HYDROBIOL, V62, P1

← 1 2 →