A game-theoretic adaptive categorization mechanism for ART-type networks

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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.

Iaith wreiddiolSaesneg
TeitlArtificial Neural Networks - ICANN 2001 - International Conference, Proceedings
GolygyddionKurt Hornik, Georg Dorffner, Horst Bischof
CyhoeddwrSpringer Verlag
Tudalennau170-176
Nifer y tudalennau7
ISBN (Argraffiad)3540424865, 9783540446682
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - Ion 2001
Cyhoeddwyd yn allanolIe
DigwyddiadInternational Conference on Artificial Neural Networks, ICANN 2001 - Vienna, Awstria
Hyd: 21 Awst 200125 Awst 2001

Cyfres gyhoeddiadau

EnwLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Cyfrol2130
ISSN (Argraffiad)0302-9743
ISSN (Electronig)1611-3349

Cynhadledd

CynhadleddInternational Conference on Artificial Neural Networks, ICANN 2001
Gwlad/TiriogaethAwstria
DinasVienna
Cyfnod21/08/0125/08/01

Dyfynnu hyn