For the known activities, the weighted support vector machine (WSVM) is used to recognize their types.

对于已知行为，采用加权支持向量机分类算法来识别其行为类别；

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The analysis to the mean square deviation showed us the conclusion, that the prediction accuracy of WSVM was better than the ANN and traditional SVM models.

对结果均方差的分析显示，加权支持向量机的预测精度优于人工神经网络和标准支持向量机模型。

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Based on the very characteristic of reliability prediction, the papers used a new SVM model called Weighted SVM (WSVM) to model and predict the system reliability.

基于可靠性预测这一特性，本文采用支持向量机的一种新模型——加权支持向量机对系统可靠性进行建模和预测。

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