Simple SVM can only handle binary classification problems; can not directly handle multi-value classification.

简单的支持向量机只能处理二值分类问题，不能直接处理多值分类问题。

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In the real world most of the data is multi-class data, so the simple SVM need for further expansion, so that it can solve the multi-value classification.

而现实世界中的大部分数据都是多类数据，所以需要对简单支持向量机作进一步扩展，使之能解决多值分类问题。

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Aiming at the pattern recognition of traffic flows in elevator group control systems, a method based on the multi-value classification SVM (Support Vector Machine) is put forward.

针对电梯群控调度中的交通流模式识别问题，提出了一种基于多值分类支持向量机的电梯交通流模式识别方法。

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