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基于SVM分类可信度的暴雨冰雹分类模型

Keywords: 暴雨/冰雹分类,分类可信度,支持向量机(SVM)

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Abstract:

为提高支持向量机(supportvectormachine,SVM)暴雨/冰雹分类准确率,研究了暴雨/冰雹样本到分类超平面的距离、样本邻域以及训练样本的过程信息对SVM分类可信度的影响,提出了采用距离系数、邻域系数和过程系数综合确定SVM分类可信度的方法,设计了基于SVM分类可信度的暴雨/冰雹分类模型,对暴雨和冰雹进行区分.结果表明:采用距离系数、邻域系数和过程系数可有效确定SVM分类可信度,基于SVM分类可信度的暴雨/冰雹分类模型有利于提高冰雹识别的击中率并降低其误报率.

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