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6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

January 1992, Vol. 4, No. 1, Pages 120-130
(doi: 10.1162/neco.1992.4.1.120)
© 1992 Massachusetts Institute of Technology
Local Feedback Multilayered Networks
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Abstract

In this paper, we investigate the capabilities of local feedback multilayered networks, a particular class of recurrent networks, in which feedback connections are only allowed from neurons to themselves. In this class, learning can be accomplished by an algorithm that is local in both space and time. We describe the limits and properties of these networks and give some insights on their use for solving practical problems.