My. Kiang et al., SELF-ORGANIZING MAP NETWORK AS AN INTERACTIVE CLUSTERING TOOL - AN APPLICATION TO GROUP TECHNOLOGY, Decision support systems, 15(4), 1995, pp. 351-374
Citations number
41
Categorie Soggetti
System Science","Computer Science Artificial Intelligence","Operatione Research & Management Science","Computer Science Information Systems
The Self-Organizing Map (SOM) network, a variation of neural computing
networks, is a categorization network developed by Kohonen. The theor
y of the SOM network is motivated by the observation of the operation
of the brain. This paper presents the technique of SOM and shows how i
t may be applied as a clustering tool to group technology. A computer
program for implementing the SOM neural networks is developed and the
results are compared with other clustering approaches used in group te
chnology. The study demonstrates the potential of using the Self-Organ
izing Map as the clustering tool for part family formation in group te
chnology.