Learning rules are constructed according to deterministic annealing to optimize classifier parameters, on purpose to reduce classification error and system entropy of the space to be identified.

由确定性退火技术构造学习规则用于优化分类器参数，目的是减少分类误差以及待识别空间的系统熵。

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By using rough set theory, this paper structures classification rules and processes the support vector machine feedback results with learning the train set.

利用粗糙集理论，通过对训练集的学习，构造分类规则，对支持向量机反馈后的结果再次进行处理。

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By using rough set theory, this paper structures classification rules and processes the support vector machine feedback results with learning the train set.

利用粗糙集理论，通过对训练集的学习，构造分类规则，对支持向量机反馈后的结果再次进行处理。

youdao