We give necessary and sufficient conditions for observability of a class of recurrent neural networks having a subsystem where the activation function is the identity. An algorithm for computing all pairs of indistinguishable states is also given.
Recurrent neural networks coupled with linear systems: Observability in continuous and discrete time
ALBERTINI, FRANCESCA;DAI PRA, PAOLO
1996
Abstract
We give necessary and sufficient conditions for observability of a class of recurrent neural networks having a subsystem where the activation function is the identity. An algorithm for computing all pairs of indistinguishable states is also given.
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