@inproceedings{e53a80ee3c824c2d9f5c11235665b5f4,
title = "A game-theoretic adaptive categorization mechanism for ART-type networks",
abstract = "A game-theoretic formulation of adaptive categorization mechanism for ART-type networks is proposed in this paper. We have derived the game-theoretic model ΓAC for competitive processes of categorization of ART-type networks and an update rule for vigilance parameters using the concept of learning automata. Numbers of clusters generated by ART adaptive categorization are similar regardless of the initial vigilance parameters ρ assigned to the ART networks as demonstrated in the experiments provided. The proposed ART adaptive categorization mechanism can thus avoid the problem of choosing suitable vigilance parameter a priori for pattern categorization.",
author = "Fung, {Wai Keung} and Liu, {Yun Hui}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; International Conference on Artificial Neural Networks, ICANN 2001 ; Conference date: 21-08-2001 Through 25-08-2001",
year = "2001",
month = jan,
doi = "10.1007/3-540-44668-0_24",
language = "English",
isbn = "3540424865",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "170--176",
editor = "Kurt Hornik and Georg Dorffner and Horst Bischof",
booktitle = "Artificial Neural Networks - ICANN 2001 - International Conference, Proceedings",
}