GENERALIZATION OF BACKPROPAGATION TO RECURRENT AND HIGH-ORDER NETWORKS.

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Abstract

Summary form only given. A general method for deriving back-propagation algorithms for networks with feedback and higher order connectivity is introduced. As an example, this method is used to derive an algorithm for adaptively modifying the weights of a recurrent generalization of the network introduced by Rumelhart et al. The back-propagation involves the integration of an associated differential equation. The weight matrix is updated only after the forward-propagation, back-propagation, and differential equations have reached steady state.

Original languageEnglish (US)
Number of pages1
StatePublished - Dec 1 1987

ASJC Scopus subject areas

  • Engineering(all)

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