## Relative order defines a topology for recurrent networksTools
Swanston, D.J., Kambhampati, C., Manchanda, S., Tham, M. and Warwick, K.
(1995)
Full text not archived in this repository. To link to this article DOI: 10.1049/cp:19950564 ## Abstract/SummaryThis paper uses techniques from control theory in the analysis of trained recurrent neural networks. Differential geometry is used as a framework, which allows the concept of relative order to be applied to neural networks. Any system possessing finite relative order has a left-inverse. Any recurrent network with finite relative order also has an inverse, which is shown to be a recurrent network.
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