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A perceptron is trained by a random bit sequence. In comparison to thecorresponding classification problem, the storage capacity decreases toalpha_c=1.70\pm 0.02 due to correlations between input and output bits. Thenumerical results are supported by a signal to noise analysis of Hebbianweights.Comment: LaTeX, 13 pages incl. 4 figures and 1 tabl

Training a perceptron by a bit sequence: storage capacity