Title
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Storage capacity and generalization error for the reversed wedge Ising perceptron
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Author
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Abstract
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Using the replica formalism, we evaluate the storage capacity and the generalization error of a perceptron with a reversed-wedge transfer function and binary synaptic weights. Remarkably, both the storage capacity and the generalization threshold saturate the information theoretic (respectively upper and lower) bound α=1 for a specific choice of the width of the reverse wedge, suggesting that this perceptron may be an interesting building block for neural networks. |
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Language
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English
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Source (journal)
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Physical review : E : statistical, nonlinear, and soft matter physics / American Physical Society. - Melville, N.Y., 2001 - 2015
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Publication
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Melville, N.Y.
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American Physical Society
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1995
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ISSN
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1539-3755
[print]
1550-2376
[online]
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DOI
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10.1103/PHYSREVE.51.6309
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Volume/pages
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51
(1995)
, p. 6309-6312
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ISI
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A1995RE08000047
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Full text (Publisher's DOI)
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Full text (open access)
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