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Approximation of discrete-time state-space trajectories using dynamic recurrent neural networks

โœ Scribed by Liang Jin, ; Nikiforuk, P.N.; Gupta, M.M.


Book ID
120572277
Publisher
IEEE
Year
1995
Tongue
English
Weight
539 KB
Volume
40
Category
Article
ISSN
0018-9286

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In this paper, we prove that any finite time trajectory of a given n-dimensional dynamical system can be approximately realized by the internal state of the output units of a continuous time recurrent neural network with n output units, some hidden units, and an appropriate initial condition. The es