Physics – Condensed Matter – Statistical Mechanics
Scientific paper
1998-06-05
Neural Networks 13, 455-462 (2000)
Physics
Condensed Matter
Statistical Mechanics
Change of title and small corrections (16 pages and 6 figures)
Scientific paper
The influence of a macroscopic time-dependent threshold on the retrieval process of three-state extremely diluted neural networks is examined. If the threshold is chosen appropriately in function of the noise and the pattern activity of the network, adapting itself in the course of the time evolution, it guarantees an autonomous functioning of the network. It is found that this self-control mechanism considerably improves the retrieval quality, especially in the limit of low activity, including the storage capacity, the basins of attraction and the information content. The mutual information is shown to be the relevant parameter to study the retrieval quality of such low activity models. Numerical results confirm these observations.
Amari Sachiko
Bolle D.
Dominguez D. R. C.
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