| LVQ神经网络在交通事件检测中的应用 |
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| 引用本文： | 朱红斌.LVQ神经网络在交通事件检测中的应用[J].计算机工程与应用,2008,44(34):213-215. |
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| 作者姓名： | 朱红斌 |
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| 作者单位： | 丽水学院计算机与信息工程学院,浙江,丽水,323000 |
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| 摘 要： | 提出一种基于LVQ神经网络的交通事件检测方法。提取上下游的流量和占有率为特征,LVQ神经网络作为分类器进行交通事件自动检测。LVQ网络结构简单,但却表现出比BP神经网络更强的有效性和鲁棒性。为进一步提高神经网络的泛化能力,采用改进的Boosting算法,进行网络集成。运用Matlab进行了仿真分析,结果表明提出的交通事件检测算法具有良好的检测性能。
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| 关 键 词： | Boosting算法 LVQ神经网络 分类器 交通事件检测 |
| 收稿时间： | 2007-8-20 |
| 修稿时间： | 2008-2-14
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Application of LVQ neural network in traffic incident detection |
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| ZHU Hong-bin.Application of LVQ neural network in traffic incident detection[J].Computer Engineering and Applications,2008,44(34):213-215. |
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| Authors: | ZHU Hong-bin |
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| Affiliation: | College of Computer and Information Engineering，Lishui University，Lishui，Zhejiang 323000，China |
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| Abstract: | A novel method is proposed for traffic incidents detection based on LVQ neural network.The features of flow and oc-cupancy rate are extracted from traffic incidents.Then LVQ neural network is used to classify the traffic incidents.LVQ has a simple network structure,but it is very effective and robust in traffic incidents detection.In order to improve the precision of the LVQ neural network for traffic incidents detection,Boosting algorithm is used to build an integration-neural network.Finally the simulation with Matlab shows the algorithm can get better performance. |
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| Keywords: | Boosting algorithm LVQ neural network classify traffic incident detection |
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