DocumentCode
2139279
Title
Classification Algorithm Based on Human Social Behavior
Author
Thammano, Arit ; Moolwong, Jittraporn
Author_Institution
King Mongkut ´´s Inst. of Technol. Ladkrabang, Bangkok
fYear
2007
fDate
16-19 Oct. 2007
Firstpage
105
Lastpage
109
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CIT.2007.94
Filename
4385065
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