A perceptron is trained by a random bit sequence. In comparison with the corresponding classification problem, the storage capacity decreases to due to correlations between input and output bits. The numerical results are supported by a signal-to-noise analysis of Hebbian weights.
No takes yet. Share an insight, caveat, or question.
Schröder et al. (1996) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: