Shang-Xu Hu

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SVM for classification is sensitive to noise and multicollinearity between attributes. Correlative component analysis (CCA) was used to eliminated multicollinearity and noise of original sample data before classified by SVM. To improve the SVM performance, Eugenic Genetic Algorithm (EGA) was used to optimize the parameters of SVM. Finally, a typical example(More)
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