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

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)
Chapter
Chapter 1: Development and Utilization of Solar Energy
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, B. X. Liu, X. Chen, "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
Export
Price
$32.00
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