To improve the adaptability and effectiveness of recognition on abnormal condition, a self-adaptive alarm method for equipment condition based on one-class support vector machine (OC-SVM) is proposed.

为了提高对异常状态识别的适应性和有效性，提出了一种基于一类支持向量机的设备状态自适应报警方法。

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This paper introduces "one-against-one" approach, which is a multi-class classification method of SVM.

在两类分类的基础上介绍了一种基于SVM的多类分类算法———一对一分类法，并将其用于中国茶叶的分类。

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