Forecasting Model Based on SAGA and LS-SVM for the Water Quality of Poyang Lake

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 347-353)

Edited by:

Weiguo Pan, Jianxing Ren and Yongguang Li

Pages:

781-785

DOI:

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

Citation:

Q. Cao et al., "Forecasting Model Based on SAGA and LS-SVM for the Water Quality of Poyang Lake", Advanced Materials Research, Vols. 347-353, pp. 781-785, 2012

Online since:

October 2011

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Price:

$35.00

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