Training a perceptron by a bit sequence: Storage capacity

Physics – Condensed Matter

Scientific paper

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LaTeX, 13 pages incl. 4 figures and 1 table

Scientific paper

10.1088/0305-4470/29/24/020

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

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