DocumentCode :
3244095
Title :
SMEs cluster resource integration capability classification based on SOM neural network
Author :
Li, Congdong ; Zhou, Quan ; Tang, Yongli
Author_Institution :
Sch. of Manage., Jinan Univ., Guangzhou, China
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
1587
Lastpage :
1590
Abstract :
An evaluation index system of resource integration capability for SMEs clusters is established based on the resource-based and capability-based views. A classification model for resource integration capability is constructed based on SOM (Self-Organizing Feature Map) neural network. An example is given to illustrate the proposed approach.
Keywords :
organisational aspects; self-organising feature maps; small-to-medium enterprises; SME cluster; SOM neural network; evaluation index system; resource integration capability classification; self-organizing feature map neural network; Indexes; Out of order; Variable speed drives; Resource integration capability; SMEs Cluster; SOM neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6483-8
Type :
conf
DOI :
10.1109/ICIEEM.2010.5646119
Filename :
5646119
Link To Document :
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