| 公交客流预测的神经网络模型 |
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| 引用本文： | 姜平,石琴,陈无畏,张卫华.公交客流预测的神经网络模型[J].武汉理工大学学报(交通科学与工程版),2009,33(3):414-417. |
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| 作者姓名： | 姜平 石琴 陈无畏 张卫华 |
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| 作者单位： | 合肥工业大学机械与汽车工程学院,合肥,230009 |
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| 基金项目： | 国家自然科学基金，安徽省自然科学基金，合肥工业大学校基金 |
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| 摘 要： | 通过分析神经网络的作用机理和公交年客流量的影响冈素,以城市人口、居民收入、生产总值等9个因素作为输入神经元,输出神经元为每年的公交客流量,建立了公交客流预测的径向基神经网络模型(RBF)和BP神经网络模型,以合肥市公交量的调查数据为例,对网络进行学习与训练仿真实验,结果表明所建模型具有较高的预测精度,效果较好.
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| 关 键 词： | 客流量预测 径向基神经网络 公路运输 |
Forecast of Passenger Volume Based on Neutral Network |
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| Jiang Ping,Shi Qin,Chen Wuwei,Zhang Weihua.Forecast of Passenger Volume Based on Neutral Network[J].journal of wuhan university of technology(transportation science&engineering),2009,33(3):414-417. |
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| Authors: | Jiang Ping Shi Qin Chen Wuwei Zhang Weihua |
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| Institution: | School of Machinery and Automobile Engineering;Hefei University of Technology;Hefei 230009 |
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| Abstract: | The mechanism of neural network and influential factors of passenger volume are analyzed in the paper.A neural network(RBF) and BP neural network model are developed in which the input nerve cells includes 9 nerve clells such as city population,income and production total value et al,the output nerve cells includs passenger volume.By analyzing the historical data of passenger volume of Hefei learn and train simulation experiments of the network,the result shows the builded model is precise and effective. |
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| Keywords: | passenger volume forecast RBF road transportation |
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