A new method of fault classification for mechanical system by means of support vector machine (SVM) is proposed and a multi-class SVM classifier based on binary classification was developed.
提出了一种利用支持向量机(SVM)对机械系统故障进行分类的新方法;以二值分类为基础,开发了基于支持向量机的多值分类器。
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。
Secondly, the text studies the Statistical Learning Theory(STL) and Support Vector Machine(SVM)theory seriously, discusses multi-category classification algorithms of SVM.
其次,认真研究了统计学习理论的主要内容和SVM算法的基本原理,并且就SVM的多种多类别分类算法分别加以讨论。
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