Forecasting Model Based on SAGA and LS-SVM for the water quality of Poyang Lake

被引：0

作者：

Cao, Qun ^{[1
]}

Liu, Bingxiang ^{[1
]}

Cheng, Xiang ^{[1
]}

机构：

[1] JDZ Ceram Inst, Sch Informat Engn, Jingdezhen 333000, Jiangxi, Peoples R China

来源：

RENEWABLE AND SUSTAINABLE ENERGY, PTS 1-7 | 2012年 / 347-353卷

关键词：

SAGA; LS-SVM; Water Quality Prediction; PoYang Lake;

D O I：

10.4028/www.scientific.net/AMR.347-353.781

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

According to the nonlinearity and uncertainty of the water quality data samples, a forecasting model based on Simulated Annealing Genetic Algorithm(SAGA)and least squares support vector machines(LS-SVM) is proposed. Through adaptively optimizing the model parameters of LS-SVM by SAGA, we can apply the model to forecast water quality of Poyang Lake. The experimental results indicate that compared to the typical LS-SVM,the model is very practical and with higher precision.

引用

页码：781 / 785

页数：5

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