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The Research of Lagrangian Support Vector Machine Based on Flexible Polyhedron Search Algorithm

机译：基于柔性多面体搜索算法的拉格朗日支持向量机研究

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Parameters selection is important in the research area of support vector machine. Based on flexible polyhedron search algorithm, this paper proposes automatic parameters selection for Lagrangian support vector machine. An equipment fault classification illustrates that lagrangian support vector machine based on particle swarm optimization has fine classification ability.

机译：参数选择在支持向量机的研究领域中很重要。基于柔性多面体搜索算法，提出了拉格朗日支持向量机的自动参数选择。设备故障分类表明，基于粒子群算法的拉格朗日支持向量机具有良好的分类能力。

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《》|2012年|p.51-55|共5页
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YongQi Chen; XiangSheng Yang;
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正文语种
中图分类计算技术、计算机技术;
关键词
lagrangian support vector machine; flexible polyhedron search algorithm; fault classification.;

机译：拉格朗日支持向量机灵活的多面体搜索算法;故障分类。;

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The Research of Lagrangian Support Vector Machine Based on Flexible Polyhedron Search Algorithm

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