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The ability of recurrent neural networks (RNN) to handle time-varying input/output through its own temporal operation is discussed. A new class of continuous-time (CT) RNN is proposed and it is proved that any finite time trajectory of a given n-dimensional dynamical CT system with input can be approximated by the internal state of the output units of an RNN. The proposed RNNs are extended for temporal processing.
Circuits and Systems II: Express Briefs, IEEE Transactions on (Volume:52 , Issue: 11 )
Date of Publication: Nov. 2005