| 基于BP神经网络客运量的分析及预测 |
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| 引用本文： | 刘志杰. 基于BP神经网络客运量的分析及预测[J]. 贵州工业大学学报(自然科学版), 2005, 34(6): 60-63,71 |
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| 作者姓名： | 刘志杰 |
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| 作者单位： | 同济大学,沪西校区交通运输管理工程系,上海,200331 |
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| 摘 要： | 客运量分析预测是一个复杂的非线性系统，针对传统分析预测方法的不足，采用BP神经网络对客运量进行分析及预测，通过对1990—2002长江三角洲地区社会经济数据与客运量数据的处理，建立了客运量的神经网络预测分析模型，借助MATLAB7．0软件，进行网络学习与训练仿真实验，与线性回归模型分析预测结果进行对比，结果表明应用BP神经网络对客运量的分析预测精度更高、效果更好。
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| 关 键 词： | 神经网络 客运量分析预测 BP算法 |
| 文章编号： | 1009-0193（2005）06-0060-04 |
| 收稿时间： | 2005-09-07 |
| 修稿时间： | 2005-09-07 |
Analysis and Prediction of Passenger Volume Base on BP Neural Network |
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| LIU Zhi-jie. Analysis and Prediction of Passenger Volume Base on BP Neural Network[J]. Journal of Guizhou University of Technology(Natural Science Edition), 2005, 34(6): 60-63,71 |
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| Authors: | LIU Zhi-jie |
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| Affiliation: | Department of Transportation Management Engineering, Tongji University West Campus, Shanghai 200331, China |
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| Abstract: | The analysis and prediction of Passenger Volume is a complicated nonlinear system. Aimed at overcoming the shortcoming of the traditional analysis and prediction methods, the BP neural network is adopted to analyze and predict the passenger volume. After disposing of statistics on passenger volume, GDP and population in Yangtze Delta from 1990 to 2002, the neural network analysis and prediction model of passenger traffic volume is set up. With help of MATLAB7.0, The network learning and training simulation experiment is completed. Comparing with traditional linear regress model, the result is more precise and effective. |
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| Keywords: | neural network analysis and prediction of passenger volume BP neural network |
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