Training a perceptron by a bit sequence: storage capacity
Martin Schröder, Wolfgang Kinzel, Ido Kanter · Journal of Physics A Mathematical and General · 1996
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.