Perceptron Beyond the Limit of Capacity

摘要

An input output map in which the patterns are divided into classes is considered for the perceptron. The statistical mechanical analysis with a finite number of classes turns out to give the same results as the case of only one class of patterns. The limit of capacity and the relevant order parameters are calculated in a mean field approach. The analysis is completed with numerical simulations with the perceptron learning rule.