{"title":"基于SOM网络的企业技术创新能力聚类分析----以河南省中小企业为例","authors":"Fangyuan Lu, Keyan Jiao","doi":"10.1109/CCCM.2008.101","DOIUrl":null,"url":null,"abstract":"Self-organizing feature map and some questions that challenge our attention in its application to cluster analysis on technological innovation ability of enterprises are expatiated on. Taking the middle and large-sized industrial enterprises in Henan province as an example, this paper elaborates on how to assign a value to each parameter in the learning algorithm of self-organizing feature map and programs directly using the toolbox of MATLAB software. The conclusions reveal that self-organizing feature map is appropriate for the cluster analysis on technological innovation ability of enterprises.","PeriodicalId":326534,"journal":{"name":"2008 ISECS International Colloquium on Computing, Communication, Control, and Management","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Cluster Analysis on Technological Innovation Ability of Enterprises Based on SOM Network----Taking the MLEs in Henan as an Example\",\"authors\":\"Fangyuan Lu, Keyan Jiao\",\"doi\":\"10.1109/CCCM.2008.101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Self-organizing feature map and some questions that challenge our attention in its application to cluster analysis on technological innovation ability of enterprises are expatiated on. Taking the middle and large-sized industrial enterprises in Henan province as an example, this paper elaborates on how to assign a value to each parameter in the learning algorithm of self-organizing feature map and programs directly using the toolbox of MATLAB software. The conclusions reveal that self-organizing feature map is appropriate for the cluster analysis on technological innovation ability of enterprises.\",\"PeriodicalId\":326534,\"journal\":{\"name\":\"2008 ISECS International Colloquium on Computing, Communication, Control, and Management\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 ISECS International Colloquium on Computing, Communication, Control, and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCCM.2008.101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 ISECS International Colloquium on Computing, Communication, Control, and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCCM.2008.101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cluster Analysis on Technological Innovation Ability of Enterprises Based on SOM Network----Taking the MLEs in Henan as an Example
Self-organizing feature map and some questions that challenge our attention in its application to cluster analysis on technological innovation ability of enterprises are expatiated on. Taking the middle and large-sized industrial enterprises in Henan province as an example, this paper elaborates on how to assign a value to each parameter in the learning algorithm of self-organizing feature map and programs directly using the toolbox of MATLAB software. The conclusions reveal that self-organizing feature map is appropriate for the cluster analysis on technological innovation ability of enterprises.