Title :
Classification Algorithm Based on Human Social Behavior
Author :
Thammano, Arit ; Moolwong, Jittraporn
Author_Institution :
King Mongkut ´´s Inst. of Technol. Ladkrabang, Bangkok
Abstract :
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.
Keywords :
behavioural sciences computing; fuzzy neural nets; pattern classification; classification problems; fuzzy ARTMAP neural network; human social behavior; sociological concept; Artificial neural networks; Classification algorithms; Clustering algorithms; Computational intelligence; Fuzzy neural networks; Humans; Information technology; Laboratories; Neural networks; Predictive models;
Conference_Titel :
Computer and Information Technology, 2007. CIT 2007. 7th IEEE International Conference on
Conference_Location :
Aizu-Wakamatsu, Fukushima
Print_ISBN :
978-0-7695-2983-7
DOI :
10.1109/CIT.2007.94
