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arXiv · cond-mat/9607040

Training a perceptron by a bit sequence: Storage capacity

M. Schroeder·W. Kinzel·I. Kanter
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Abstract

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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M. Schroeder, W. Kinzel, I. Kanter. 1996-07-05. Training a perceptron by a bit sequence: Storage capacity. https://doi.org/10.1088/0305-4470%2F29%2F24%2F020

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