| 基于SOFM神经网络的客运一体化枢纽分类 |
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| 引用本文： | 曹守华,袁振洲,韩宝明,李得伟.基于SOFM神经网络的客运一体化枢纽分类[J].北京交通大学学报(自然科学版),2008,32(6). |
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| 作者姓名： | 曹守华 袁振洲 韩宝明 李得伟 |
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| 作者单位： | 北京交通大学交通运输学院 |
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| 基金项目： | 国家自然科学基金
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国家高技术研究发展计划(863计划)
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| 摘 要： | 分析了在大城市进行交通一体化枢纽建设的必要性,建立了反映客运交通枢纽一体化特性的指标体系,提出采用自组织特征映射(Self-Organizing Feature Map,SOFM)神经网络进行城市交通客运一体化枢纽分类的新方法.最后采用广州交通客运一体化枢纽为例,通过定量定性结合的方法,对客运一体化枢纽进行了分类.
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| 关 键 词： | 交通枢纽 客运一体化 自组织特征映射网络 分类 |
Classification for Passenger Transport Integrative Hubs Based on SOFM Neural Network |
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| CAO Shouhua,YUAN Zhenzhou,HAN Baoming,LI Dewei.Classification for Passenger Transport Integrative Hubs Based on SOFM Neural Network[J].JOURNAL OF BEIJING JIAOTONG UNIVERSITY,2008,32(6). |
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| Authors: | CAO Shouhua YUAN Zhenzhou HAN Baoming LI Dewei |
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| Abstract: | In this paper, the necessities to construct the integrated traffic hubs are analyzed. Based on the analysis, the evaluating index system is established and the method for planning the public transport integrative hubs using SOFM neural network is brought forward. At last, an example is set by planning the passenger transport integrative hubs in Guangzhou, and the result demonstrates that SOFM is valid for solving such problems. |
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| Keywords: | traffic hub integrated passenger transport self-organizing feature map(SOFM) classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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