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
收藏
页码：781 / 785
页数：5
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