文件名称:GImpprovedSVVe
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将遗传算法(GA)与传统SVM算法结合，构造出一种参数最优的进化SVM(GA2SVM)，SVM 模型使用径向基函数(RBF))作为核函数，运用格雷码编码方式对SVM算法的模型参数进行遗传编码与优化搜索，，将搜索到的优化结果作为SVM 的最终模型参数。
-Genetic algorithm (GA) combined with the traditional SVM algorithm to construct a parameter of the evolution of the optimal SVM (GA2SVM), SVM model using the radial basis function (RBF)) as the kernel function, the use of Gray code encoding the SVM algorithm The genetic coding of model parameters and optimize search, search optimization results as the final SVM model parameters.
-Genetic algorithm (GA) combined with the traditional SVM algorithm to construct a parameter of the evolution of the optimal SVM (GA2SVM), SVM model using the radial basis function (RBF)) as the kernel function, the use of Gray code encoding the SVM algorithm The genetic coding of model parameters and optimize search, search optimization results as the final SVM model parameters.
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下载文件列表
GImpprovedSVVe\ImprovedSVM.pdf
GImpprovedSVVe
GImpprovedSVVe