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- W1963931490 abstract "The least squares support vector machine (LS-SVM) is used to study the nonlinear time series prediction. First, the parameter γ and multi-step prediction capabilities of the LS-SVM network are discussed. Then we employ clustering method in the model to prune the number of the support values. The learning rate and the capabilities of filtering noise for LS-SVM are all greatly improved." @default.
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- W1963931490 date "2005-06-01" @default.
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- W1963931490 title "Discussion About Nonlinear Time Series Prediction Using Least Squares Support Vector Machine" @default.
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- W1963931490 doi "https://doi.org/10.1088/0253-6102/43/6/021" @default.
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