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- W1559271384 abstract "A game-theoretic formulation of adaptive categorization mechanism for ART-type networks is proposed in this paper.W e 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.Num bers 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." @default.
- W1559271384 created "2016-06-24" @default.
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- W1559271384 date "2001-01-01" @default.
- W1559271384 modified "2023-09-27" @default.
- W1559271384 title "A Game-Theoretic Adaptive Categorization Mechanism for ART-Type Networks" @default.
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- W1559271384 doi "https://doi.org/10.1007/3-540-44668-0_24" @default.
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