7th IEEE International Conference on Computer and Information Technology (CIT 2007) Classification Algorithm Based on Human Social Behavior Aizu-Wakamatsu City, Fukushima, Japan October 16-October 19 ISBN: 0-7695-2983-6
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIT.2007.94
This paper proposes the new approach to deal with the classification problems by employing the sociological concept of "in-group" and "out-group." The main idea of the concept is about the behavior of in-group members that try to unite with their own group as much as possible, and at the same time maintain social distance from the out-group members. The performance of the proposed model was compared with the fuzzy ARTMAP neural network. The results on five benchmark problems are very encouraging.
Citation:
Arit Thammano, Jittraporn Moolwong, "Classification Algorithm Based on Human Social Behavior," cit, pp.105-109, 7th IEEE International Conference on Computer and Information Technology (CIT 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||