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World Expo 2010 Pavilions Clustering Analysis Based on Self-Organizing Map
Li Qianqian1,2; Gu Jifa2,3
2016-08-01
Source PublicationJOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
ISSN1009-6124
Volume29Issue:4Pages:1089-1099
AbstractThis paper reports the classification of 90 sample pavilions in Shanghai World Expo. An artificial intelligence based nonlinear clustering method known as Self-Organizing Map (SOM) has been used to classify expo pavilions. SOM is an efficient tool for visualization of multidimensional data. To conduct the classification, four characteristics namely Hurst exponent for queue length, Hurst exponent for waiting time, mean queue length and mean waiting time have been applied. The classification results show that Shanghai World Expo pavilions can be optimally classified into four classes. This result will shed light on further studies that how to manage the queue of World Expo pavilions in the future.
KeywordPavilions clustering self-organizing map World Expo
DOI10.1007/s11424-015-4167-0
Language英语
Funding Project973 Research Program[2010CB731500] ; National Natural Science Foundation of China[71403262] ; National Natural Science Foundation of China[91024010] ; National Natural Science Foundation of China[91324009] ; Innovative Team Program[GH13041] ; Major Program of Institute of Policy and Management, Chinese Academy of Sciences[Y201201Z06]
WOS Research AreaMathematics
WOS SubjectMathematics, Interdisciplinary Applications
WOS IDWOS:000384985600013
PublisherSPRINGER HEIDELBERG
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/23983
Collection中国科学院数学与系统科学研究院
Affiliation1.Chinese Acad Sci, Inst Policy & Management, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Ctr Interdisciplinary Studies Nat & Social Sci, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Li Qianqian,Gu Jifa. World Expo 2010 Pavilions Clustering Analysis Based on Self-Organizing Map[J]. JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,2016,29(4):1089-1099.
APA Li Qianqian,&Gu Jifa.(2016).World Expo 2010 Pavilions Clustering Analysis Based on Self-Organizing Map.JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,29(4),1089-1099.
MLA Li Qianqian,et al."World Expo 2010 Pavilions Clustering Analysis Based on Self-Organizing Map".JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY 29.4(2016):1089-1099.
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