Several symmetry properties of discrete Hopfield neural networks
Jiyang Dong, Junying Zhang · 2003
Symmetry is powerful tool to reduce the freedom of a problem. Discrete Hopfield neural networks with Hebbian learning are studied by the method of group theory in this paper, and several symmetry properties of the network being an auto-associator are given and proved.