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- W1597771221 abstract "This paper addresses the problem of estimating training error bounds of state and output trajectories for a class of recurrent neural networks as models of nonlinear dynamic systems. We present training error bounds of trajectories between the recurrent neural network models and the target systems. The bounds are obtained provided that the models have been trained on N trajectories with N independent random initial values which are uniformly distributed over [a, b]m e Rm." @default.
- W1597771221 created "2016-06-24" @default.
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- W1597771221 date "1996-01-01" @default.
- W1597771221 modified "2023-09-22" @default.
- W1597771221 title "Approximation errors of state and output trajectories using recurrent neural networks" @default.
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- W1597771221 doi "https://doi.org/10.1007/3-540-61510-5_135" @default.
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