| 基于支持向量机的交通流混沌快速识别研究 |
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| 引用本文： | 庞明宝,贺国光.基于支持向量机的交通流混沌快速识别研究[J].系统工程学报,2007,22(6):593-598,619. |
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| 作者姓名： | 庞明宝 贺国光 |
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| 作者单位： | 1. 天津大学系统工程研究所,天津,300072;河北工业大学土木学院,天津,300131
2. 天津大学系统工程研究所,天津,300072 |
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| 摘 要： | 采用支持向量机研究交通流混沌的在线快速判别问题.在分析交通流控制对交通流混沌判别的要求和现有混沌判别方法存在问题的基础上,提出了基于支持向量机的在线交通流混沌快速实时判别方法,介绍了该方法的原理和实现该方法的系统结构.重点讨论了特征向量的提取和支持向量机实现在线识别的算法,给出了仿真试验结果,说明了方法的可行性与正确性.
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| 关 键 词： | 混沌 交通流 支持向量机 实时识别 Lyapunov指数 小波包 |
| 文章编号： | 1000-5781（2007）06-0593-06 |
| 收稿时间： | 2007-04-10 |
| 修稿时间： | 2007-05-17 |
Research on rapid recognition of chaos in traffic flow based on support vector machine |
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| PANG Ming-bao,HE Guo-guang.Research on rapid recognition of chaos in traffic flow based on support vector machine[J].Journal of Systems Engineering,2007,22(6):593-598,619. |
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| Authors: | PANG Ming-bao HE Guo-guang |
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| Abstract: | The real-time rapid recognition problem of chaos in traffic flow is studied by using support vector machine.Based on analyzing the demand of traffic control to chaos recognition in traffic flow and the problems of the exiting chaos recognition methods,a rapid real-time recognition method of chaos in traffic flow is brought forward by using support vector machine.The principle and the structure of the system are briefly introduced.The extracting of the feature vector and the algorithm of online recognition of chaos using support vector machine are discussed mainly.The simulation result shows that the present method is correct and feasible. |
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| Keywords: | chaos traffic flow support vector machine(SVM) real-time recognition Lyapunov exponents wavelet packet |
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