Training a perceptron by a bit sequence: Storage capacity

M. Schröder, W. Kinzel, I. Kanter

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


A perceptron is trained by a random bit sequence. In comparison with the corresponding classification problem, the storage capacity decreases to ac = 1.70 ± 0.02 due to correlations between input and output bits. The numerical results are supported by a signal-to-noise analysis of Hebbian weights.

Original languageEnglish
Pages (from-to)7965-7972
Number of pages8
JournalJournal of Physics A: Mathematical and General
Issue number24
StatePublished - 21 Dec 1996


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