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 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.
Original language | English (US) |
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Pages (from-to) | 2229-2232 |
Number of pages | 4 |
Journal | Physical Review Letters |
Volume | 59 |
Issue number | 19 |
DOIs | |
State | Published - Jan 1 1987 |
ASJC Scopus subject areas
- Physics and Astronomy(all)