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Time-delay Neural Networks

Keywords: back-propagation, neural networks

Categories: Neural Networks


Author(s): Steve Renals

A limitation of feed-forward networks is their inability to model time-dependent data. A proposed solution to this problem is the addition of several, time-delayed connections between a pair of units. In this way time-dependencies may be modelled. Training may be performed using the usual back-propagation of error algorithm (see Multi-layer Perceptorns). The number of free parameters is reduced by constraining a set of connections differing only in delay to have the same weight--these constraints also impart a translation invariance into the system.


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