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Thresholds in layered neural networks with variable activity

D. Bolle'·G. Massolo
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Abstract

The inclusion of a threshold in the dynamics of layered neural networks with variable activity is studied at arbitrary temperature. In particular, the effects on the retrieval quality of a self-controlled threshold obtained by forcing the neural activity to stay equal to the activity of the stored paterns during the whole retrieval process, are compared with those of a threshold chosen externally for every loading and every temperature through optimisation of the mutual information content of the network. Numerical results, mostly concerning low activity networks are discussed.

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D. Bolle', G. Massolo. 1999-09-30. Thresholds in layered neural networks with variable activity. https://doi.org/10.1088/0305-4470%2F33%2F14%2F301

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