文件名称:Support-vector-machine-model
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支持向量机模型研究及应用，本文所做的工作主要在如下几个方面：
1)运用模糊集理论(FST)和概率理论对支持向量机进行研究，构造出了概率模糊支
持向量机(PFSVM)模型，既达到了减少或者消除外围异样点对于整个训练模型的影响，-Support vector machine model and application, this work mainly in the following aspects: 1) the use of fuzzy set theory (FST) and the probability theory of support vector machines, constructed out of the probabilistic fuzzy support vector machine (PFSVM) model, not only to reduce or eliminate abnormal points outside the training model for the effects of
1)运用模糊集理论(FST)和概率理论对支持向量机进行研究，构造出了概率模糊支
持向量机(PFSVM)模型，既达到了减少或者消除外围异样点对于整个训练模型的影响，-Support vector machine model and application, this work mainly in the following aspects: 1) the use of fuzzy set theory (FST) and the probability theory of support vector machines, constructed out of the probabilistic fuzzy support vector machine (PFSVM) model, not only to reduce or eliminate abnormal points outside the training model for the effects of
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支持向量机模型研究及应用.pdf
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