Input output stability of recurrent neural networks

@inproceedings{Steil1999InputOS,
  title={Input output stability of recurrent neural networks},
  author={Jochen J. Steil},
  year={1999}
}
i Foreword Recurrent neural networks are an attractive tool for both practical applications and for the modeling of biological nerve nets, but their successful application requires an understanding of their dynamical properties, in particular, their stability. The present work provides an in-depth study of this challenging issue and contributes a number of new results that are also important for a broader class of recurrent systems containing nonlinear and even time-delayed feedback. The… CONTINUE READING