Improving the resultant quality of Kohonen's self organizing map using stiffness factor


First International Conference on Natural Computation, ICNC 2005, Changsha, China, 27 - 29 August 2005, vol.3610, pp.353-357 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 3610
  • Doi Number: 10.1007/11539087_43
  • City: Changsha
  • Country: China
  • Page Numbers: pp.353-357
  • Anadolu University Affiliated: Yes


The performance of Self Organizing Map (SOM) is always influenced by learn methods. The resultant quality of the topological formation of the SOM is also highly dependent onto the learning rate and the neighborhood function. In literature, there are plenty of studies to find a proper method to improve the quality of SOM. However, a new term "stiffness factor" has been proposed and was used in SOM training in this paper. The effect of the stiffness factor has also been tested with a real-world problem and got positive influence. © Springer-Verlag Berlin Heidelberg 2005.