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基于因子分析与Kohonen网络的公路运输枢纽分类方法
引用本文:姚志刚,周伟,王元庆.基于因子分析与Kohonen网络的公路运输枢纽分类方法[J].武汉理工大学学报(交通科学与工程版),2009,33(4):663-666.
作者姓名:姚志刚  周伟  王元庆
作者单位:1. 长安大学经济与管理学院,西安,710064;长安大学公路学院,西安,710064
2. 长安大学经济与管理学院,西安,710064,长安大学公路学院,西安,710064
基金项目:高等学校博士学科点专项科研基金项目资助 
摘    要:采用因子分析将公路运输枢纽载体城市的14项统计指标简化为3类综合因子,构建Koho-nen网络模型并输入综合因子变量得到公路运输枢纽的初步分类方案,通过F-统计量检验分类效果发现将所选44个公路运输枢纽分为4类最佳.结果表明,因子分析与Kohonen网络结合是一种有效的公路运输枢纽分类方法,公路运输枢纽具有较明显的4个层级结构.

关 键 词:交通工程  公路运输枢纽  因子分析  Kohonen网络

Classification of Highway Transportation Hubs Combined Factors Analysis with Kohonen Network
Yao Zhigang,Zhou Wei,Wang Yuanqing.Classification of Highway Transportation Hubs Combined Factors Analysis with Kohonen Network[J].journal of wuhan university of technology(transportation science&engineering),2009,33(4):663-666.
Authors:Yao Zhigang  Zhou Wei  Wang Yuanqing
Institution:School of Economics and Management;Chang'an University;Shaanxi Xi'an 710064;School of Highway;Shaanxi Xi'an 710061
Abstract:Three synthetic factors were synthesized from 14 indices of highway transportation hubs by factors analysis,and were regarded as input indices of Kohonen network model.Authors acquired preliminary classifications of 44 Chinese highway transportation hubs with neural network model.After F-statistical was used to test the preliminary classifications,44 Chinese highway transportation hubs were divided into four levels.The paper concludes that it is effective categorization method of highway transportation hubs...
Keywords:traffic engineering  highway transport hub  factors analysis  Kohonen network  
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