title: Effects of noise in training patterns on the memory capacity of the fully connected binary Hopfield neural network: mean-field theory and simulations.
abstract: We show that the memory capacity of the fully connected binary Hopfield network is significantly reduced by a small amount of noise in training patterns. Our analytical results obtained with the mean field method are supported by extensive computer simulations.
authors.affiliation: School of Computing and Mathematics, Deakin University, Clayton, Victoria 3168, Australia.
authors.forename: L
authors.initials: L
authors.lastname: Wang