Title: Supervised Competition Using Joined Growing Neural Gas

Year of Publication: Apr - 2014
Page Numbers: 331-337
Authors: Dusan Fedorcak, Michal Podhoranyi
Conference Name: The International Conference on Computing Technology and Information Management (ICCTIM2014)
- United Arab Emirates


Competitive learning is well-known method to process data. Various goals may be achieved using competi- tive learning such as classifcation or vector quantiza- tion. In this paper, we present a diferent insight into the principle of supervised competitive learning. An in- novative approach to the supervised self-organization is suggested. The method is based on diferent handling of input data labels which encode the classifcation. When the label has appropriate format then it is possible to use it within the competitive process in the same way as any input data element. Such approach is as efective as standard supervised methods and has some positive attributes such as the soft classifcation ability.