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 fuzzy judgment support vector machine algorithm based on loss function is proposed, and compared with fuzzy sample support vector machine algorithm.

提出了基于损失函数的模糊判决支持向量机算法，并与模糊样本支持向量机算法进行了比较。

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In recent years, support vector machine algorithm is widely used on the issue of learning of retrieval function (ranking function) and performs excellently.

近年来，支持向量机算法被广泛地用于检索函数(排位函数)学习问题上且应用性能卓越。

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In model establishment of soft-sensing, the problems of small sample, non-linearity, high dimensions and local minimal value can be well solved by support vector machine algorithm.

在软测量建模过程中，基于支持向量机的算法能较好地解决小样本、非线性、高维数、局部极小点等问题。

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Introducing the novel fuzzy membership model into Adaptive Support Vector Machine (ASVM), we propose an Adaptive fuzzy Support Vector Machine algorithm (AFSVM).

并将新的模糊隶属度模型引入自适应支持向量机，提出了模糊自适应支持向量机算法。

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Subsequently those preprocessing data are the input of SVM (support vector machine) algorithm, which is used for ball bearing fault detection.

将预处理后数据作为SVM(支持向量机)算法的输入，通过SVM算法来检测轴承故障。

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Absrtact: SVM (support vector machine) algorithm is the newest branch of statistic learning theory.

摘要：支持向量机(SVM)算法是统计学习理论中最年轻的分支。

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Absrtact: SVM (support vector machine) algorithm is the newest branch of statistic learning theory.

摘要：支持向量机(SVM)算法是统计学习理论中最年轻的分支。

youdao