Abstract
An adaptive neural network with asymmetric connections is introduced. This network is related to the Hopfield network with graded neurons and uses a recurrent generalization of the δ rule of Rumelhart, Hinton, and Williams to modify adaptively the synaptic weights. The new network bears a resemblance to the master/slave network of Lapedes and Farber but it is architecturally simpler.
- Received 10 June 1987
DOI:https://doi.org/10.1103/PhysRevLett.59.2229
©1987 American Physical Society