Application of MATLAB Neural Network in evaluating Lake and Reservoir Eutrophication

被引：0

作者：

Liu, Bingtao ^{[1
]}

Shui, Yonghong ^{[2
]}

Zhang, Li ^{[1
]}

机构：

[1] N China Inst Water Conservancy & Hydroelect Power, Zhengzhou 450011, Henan, Peoples R China

[2] Cheng Du Text Coll, Chengdu 61173, Sichuan, Peoples R China

来源：

DISASTER ADVANCES | 2012年 / 5卷 / 04期

关键词：

MATLAB Neural Network; Eutrophication; Evaluation; Lake;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

The aim of this work is to base on the MATLAB neural network and the eutrophication of lakes evaluation criteria, using artificial neural network pattern recognition theory and methods. BP, PNN, GRNN and the Elman neural network evaluation model of eutrophication level of 24 major lake are compared and the results show that the neural network model based on MATLAB evaluation lake eutrophication level library is feasible and the evaluation model is simple, high precision evaluation.

引用

页码：909 / 915

页数：7

共 9 条

[1] [Anonymous], OCEANOL LIMNOL SIN
[2] [Anonymous], 2009, IPEMC
[3] [陈永灿 Chen Yongcan], 2004, [水力发电学报, Journal of Hydroelectric Engineering], V23, P7
[4] Ministry of Water Resources Water Environment Monitoring Research Evaluation Center, 2007, TECHN REG SURF WAT R
[5] Wang GZ., 2009, WATER RESOURCE PROTE, V25, P14
[6] Wang jiabin, 2009, J QUANZHOU NORMAL CO, V19, P80
[7] Wang Xiao-ping, 2007, Journal of Zhejiang University, V41, P361
[8] [张成燕 ZHANG Chengyan], 2008, [冶金分析, Metallurgical Analysis], V28, P44
[9] Zhang Liangjun, 2008, NEURAL NETWORK PRACT

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