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The genetic simulated annealing algorithm can get global solution with low computational load. By means of this algorithms optimization method, the support vector machines (SVM) radial basis probabilistic kernel parameters of the performance was found out. A special software was developed on this method, it can be used in different field and improved the application of SVM in industry area. Then,...
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