| 基于径向基函数神经网络的交通事故预测 |
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| 引用本文： | 汪洋,宇仁德,闫建华.基于径向基函数神经网络的交通事故预测[J].交通标准化,2009(21):55-58. |
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| 作者姓名： | 汪洋 宇仁德 闫建华 |
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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： | 基于径向基神经网络强大且准确的非线性关系映射能力，将其应用于交通事故预测中，获得了较高的预测精度。同时，与BP神经网络预测结果的对比表明，径向基神经网络预测方法明显优于BP神经网络预测方法。
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| 关 键 词： | 预测 道路交通事故 RBF神经网络 BP神经网络 |
Forecast Approach for Traffic Accident Based on Radial Basis Function |
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| WANG Yang,YU Ren-De,YAN Jian-hua.Forecast Approach for Traffic Accident Based on Radial Basis Function[J].Communications Standardization,2009(21):55-58. |
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| Authors: | WANG Yang YU Ren-De YAN Jian-hua |
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| Institution: | (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China) |
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| Abstract: | Radial basis accurate non-linear shine, ANN, it proves that the fo neural network is applied in traffic having got excellent forecast accuracy recast approach based on radial basis accident predict for its powerful and Compared with the prediction of BP function is better than BP ANN. |
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| Keywords: | forecast traffic accident RBF neural network BP ANN |
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