On the Identi cation of Recurrent Neural Nets
نویسندگان
چکیده
In this paper observational equivalence for so-called Jordan networks, which are a special class of recurrent networks, is analysed. We show this type of neural nets to belong to a wider class of mixed networks and use the description of observational equivalence available for the latter class for obtaining the respective results for the rst class. nonlinear systems, recurrent neural nets, structure theory, identi cation
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