The classification mechanism of support vector machine (SVM) was analyzed in detail. The one dimensional image of radar target was recognized by SVM.

研究了支撑矢量机的分类机理，并利用支撑矢量机对雷达目标一维像进行了识别。

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Support vector machine (SVM) is a new mechanism of machine learning.

支持向量机(SVM)是一种新的机器学习机制。

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A network traffic anomaly detection mechanism is presented based on support vector machine (SVM).

提出了一种基于支持向量机的网络流量异常检测方法。

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Consequently, the learning mechanism of the proposed approach is much easier than the robust support vector regression networks (RSVRNs) approach and the weighted LS-SVMR approach.

我们所提出的方法在整个学习架构上要比强健式支援向量机网路与权重式最小平方支援向量机回归法更简易。

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Consequently, the learning mechanism of the proposed approach is much easier than the robust support vector regression networks (RSVRNs) approach and the weighted LS-SVMR approach.

我们所提出的方法在整个学习架构上要比强健式支援向量机网路与权重式最小平方支援向量机回归法更简易。

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