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- W2386673411 abstract "Based on the fact that wavelet is suitable for processing nonlinear,non-stationary random signals and support vector machine excel at solving nonlinear,small-sample,high dimensional problems,the paper proposes a combined model of wavelet analysis(WA)and support vector machine(SVM).It decomposes the time series of original silicon content in hot metal to different layers through wavelet analysis.Different SVMs are built to predict each layer,and finally to obtain the predicted results of the original time series by composition.Taking No.1 blast furnace of Laiwu Iron and Steel Group Co.as an example,application result shows that the result of WA-SVM model is better than that of the AR model frequently applied in the project and the single least squares support vector machine and the prediction accuracy is elevated obviously." @default.
- W2386673411 created "2016-06-24" @default.
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- W2386673411 date "2009-01-01" @default.
- W2386673411 modified "2023-09-25" @default.
- W2386673411 title "Application of WA-SVM Combined Model to Predict Silicon Content in Hot Metal" @default.
- W2386673411 hasPublicationYear "2009" @default.
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