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The kernel parameters setting for SVM in a training process impacts on the classification accuracy. The hybrid framework based on SVM and ensemble differential evolution is proposed to enhance the classification accuracy. The ensemble differential evolution is utilized to optimize the kernel parameters. The ensemble differential evolution algorithm employs two trial vector generation strategies and...
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