Generalization of back-propagation to recurrent neural networks

✍ Scribed by Pineda, Fernando

• Book ID: 115492128
• Publisher: The American Physical Society
• Year: 1987
• Tongue: English
• Weight: 149 KB
• Volume: 59
• Category: Article
• ISSN: 0031-9007
• DOI: 10.1103/physrevlett.59.2229

✦ Synopsis

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 6 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.