On the capacity per synapse

I. Kanter, E. Eisenstein

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The optimal storage capacity of a perceptron with a finite fraction of sign constrained weights, which are prescribed a priori, is examined. The storage capacity is calculated by considering the fractional volume of weights which can store a set of alpha N random patterns, where N is the size of the input. It is found that in the case where (1-s) N weights are sign constrained the capacity is (1+s)/2 alpha Gc(k), where alpha G c(k) is the maximal storage capacity in Gardner's case and k is a stability parameter.

Original languageEnglish
Article number016
Pages (from-to)L935-L938
JournalJournal of Physics A: Mathematical and General
Volume23
Issue number17
DOIs
StatePublished - 1990

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