Description: SVM neural network function fitting, in the case of linear inseparable, through the use of nonlinear mapping algorithm will undivided linear sample low-dimensional input space into a high-dimensional feature space linear separable, so as to make the high dimensional feature space by using linear algorithm for linear analysis on the nonlinear characteristics of samples is possible
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CHENGXU3
........\svm_1.m
........\svm_2.m
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