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Support vector machine for classification based on fuzzy training data

机译:基于模糊训练数据的支持向量机分类

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摘要

Support vector machines (SVM) have been very successful in pattern recognition and function estimation problems, but in the support vector machines for classification, the training example is non-fuzzy input and output is y = ±1; In this paper, we introduce the support vector machine which the training examples are fuzzy input, and give some solving procedure of the Support vector machine with fuzzy training data.
机译:支持向量机(SVM)在模式识别和功能估计问题上已经非常成功,但是在用于分类的支持向量机中,训练示例为非模糊输入,输出为y =±1;本文介绍了训练实例为模糊输入的支持向量机,并给出了带有模糊训练数据的支持向量机的求解过程。

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