Title :
Repeated game analysis on ART adaptive categorization game
Author :
Fung, Wai-Keung ; Liu, Yun-Hui
Author_Institution :
Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Shatin, China
Abstract :
A new formulation of an adaptive categorization game of ART-type neural networks is described in this paper. Learning automata dynamics is introduced into the adaptive categorization game in ART-type networks so that the vigilance parameter ρ is adjusted to give variable-sized clusters. Moreover, repeated game analysis is also conducted on the learning automata-based adaptive categorization game in order to study the asymptotic behaviors of the game when data patterns are passed to the ART networks one after the other
Keywords :
ART neural nets; game theory; learning automata; pattern classification; pattern clustering; ART-type neural networks; adaptive categorization game; asymptotic behavior; learning automata dynamics; repeated game analysis; sequential data-pattern passing; variable-sized clusters; vigilance parameter; Adaptive systems; Automation; Learning automata; Los Angeles Council; Neurons; Pattern analysis; Resonance; Shape; Subspace constraints; Testing;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.861524
