@inproceedings{cb241c413bc747c9b113248294396c73,
title = "Approximation errors of state and output trajectories using recurrent neural networks",
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 ∈ Rm.",
author = "Binfan Liu and Jennie Si",
year = "1996",
doi = "10.1007/3-540-61510-5_135",
language = "English (US)",
isbn = "3540615105",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "803--808",
booktitle = "Artificial Neural Networks, ICANN 1996 - 1996 International Conference, Proceedings",
note = "1996 International Conference on Artificial Neural Networks, ICANN 1996 ; Conference date: 16-07-1996 Through 19-07-1996",
}