Forecasting Model Based on SAGA and LS-SVM for the Water Quality of Poyang Lake
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.
Weiguo Pan, Jianxing Ren and Yongguang Li
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