| 基于广义回归神经网络的交通事故预测 |
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| 引用本文： | 刘秀清,宇仁德,范东凯.基于广义回归神经网络的交通事故预测[J].山东理工大学学报,2007,21(2):28-31,35. |
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| 作者姓名： | 刘秀清 宇仁德 范东凯 |
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| 作者单位： | 山东理工大学交通与车辆工程学院 山东淄博255049 |
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| 摘 要： | 在进行交通事故统计的基础上,运用广义回归神经网络理论,建立交通事故预测模型,对2000~2003年的交通事故死亡人数和经济损失进行外推预测.计算结果表明,该模型预测和外推精度高,可用于交通事故预测.
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| 关 键 词： | 广义神经网络 交通事故 预测 |
| 文章编号： | 1672-6197（2007）03-0028-04 |
| 修稿时间： | 2006-12-07 |
Traffic accident prediction based on GRNN |
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| LIU Xiu-qing,YU Ren-de,FAN Dong-kai.Traffic accident prediction based on GRNN[J].Journal of Shandong University of Technology:Science and Technology,2007,21(2):28-31,35. |
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| Authors: | LIU Xiu-qing YU Ren-de FAN Dong-kai |
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| Institution: | School of Transport and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China |
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| Abstract: | Based on the analysis of road traffic accident,a set of general regression neural network model was developed for forecasting traffic accident.The GRNN model was applied to extrapolate the number of death and economy lose of 2000~2003.The result shows that the model is precise and feasible. |
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| Keywords: | general regression neural network traffic accident forecast |
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