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In MB-ART partition, the alternative partitions approximating all possible partitions of the measurement set are generated by the different vigilance parameters, and these parameters are obtained by the bisection method.
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The proposed vigilance parameter update rule can help improving categorization performance in the aspect of category number stability and solve the problem of selecting initial vigilance parameter prior to pattern categorization in traditional ART networks.
Overall, the proposed algorithm is vigilance parameter-free and very efficient to use in CF with a wide variety of machine/part matrices.
A game-theoretic formulation of adaptive categorization for ART networks is proposed for vigilance parameter adaptation for category size control on the categories formed.
The adaptive vigilance parameter guarantees that LD-SOINN is able to add new nodes for new knowledge automatically and the number of nodes will not grow unlimitedly.
In our modified ART1, the vigilance parameter can be simply estimated by the data so that it is more efficient and reliable than Dagli and Huggahalli's method for selecting a vigilance value.
Vigilance parameter (rho ) was set to 0.5.
A vigilance parameter value of unity requires the inputs in the same group to be identical.
The work also discusses the influence of vigilance parameter settings for filtering the training set.
As mentioned above, the vigilance parameter for Fuzzy ART determines the ultimate number of categories learned during the first presentation.
Open image in new window Fig. 2 Influence of the vigilance parameter on the training set clustering.
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