| 基于多值分类SVM的电梯交通模式识别 |
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| 引用本文： | 秦臻,赵建勇,严义.基于多值分类SVM的电梯交通模式识别[J].计算机工程,2011,37(9):201-203,206. |
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| 作者姓名： | 秦臻 赵建勇 严义 |
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| 作者单位： | 杭州电子科技大学智能与软件技术研究所,杭州,310037 |
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| 基金项目： | 浙江省自然科学基金，2009年浙江省大学生科技创新活动计划基金 |
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| 摘 要： | 针对电梯群控系统中的交通模式识别问题，提出一种基于多值分类支持向量机(SVM)的电梯交通模式识别方法。采用直接多值分类SVM对采集的电梯交通流数据进行分析，得到交通模式分类器，从而解决电梯交通流模式识别中多输入、多输出的非线性系统辨识问题。实验结果表明，该方法可实现全局最优且分类误差较小，能满足群控系统的要求。
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| 关 键 词： | 多值分类 电梯交通流 支持向量机 电梯群控系统 |
Pattern Recognition of Elevator Traffic Mode Based on Multi-value Classification Support Vector Machine |
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| QIN Zhen,ZHAO Jian-yong,YAN Yi.Pattern Recognition of Elevator Traffic Mode Based on Multi-value Classification Support Vector Machine[J].Computer Engineering,2011,37(9):201-203,206. |
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| Authors: | QIN Zhen ZHAO Jian-yong YAN Yi |
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| Affiliation: | (Institute of Intelligent and Software Technology,Hangzhou Dianzi University,Hangzhou 310037,China) |
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| Abstract: | Aiming at the problem of pattern recognition of traffic mode in elevator group control system,this paper proposes a pattern recognition method of elevator traffic mode based on multi-value classification Support Vector Machine（SVM）.It analyzes the collected elevator traffic flow data using the direct multi-value classification SVM.The traffic mode classifier is established and it can provide an efficient solution for the recognition of non-linear system with multiple-input and multiple-output.Experimental results show that the method can result in global optimization,small classification errors and the ability to meet group control systems. |
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| Keywords: | multi-value classification elevator traffic flow Support Vector Machine（SVM） elevator group control system |
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