Title :
Cluster Analysis on Technological Innovation Ability of Enterprises Based on SOM Network----Taking the MLEs in Henan as an Example
Author :
Lu, Fangyuan ; Jiao, Keyan
Author_Institution :
Bus. Sch., Zhengzhou Univ., Zhengzhou
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.
Keywords :
commerce; innovation management; learning (artificial intelligence); pattern clustering; self-organising feature maps; technology management; Henan; MATLAB; SOM network; cluster analysis; enterprise technological innovation; learning algorithm; middle and large-sized industrial enterprises; self-organizing feature map; Clustering algorithms; Communication system control; Computer network management; Computer networks; Innovation management; MATLAB; Neurons; Software tools; Technological innovation; Technology management;
Conference_Titel :
Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3290-5
DOI :
10.1109/CCCM.2008.101