In addition, we combined SVM with rough set theory, and got rough support vector machine algorithm (RSVM).

此外，将支持向量机与粗糙集理论相结合，得到粗糙支持向量机算法(RSVM)。

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The simulation results on UCI show that NFS-RSVM can remove most of the noises effectively, and the accuracy is improved partly compared with the traditional SVM and FSVM.

基于UCI数据集的仿真结果表明，NFS - RSVM方法能有效地将数据中的大部分噪声点去除，与传统的SVM和FSVM相比分类精度有一定程度的提高。

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