Neural reconstruction of Lorenz attractors by an observable

This publication has 12 references indexed in Scilit:

• Learning of Chua's circuit attractors by locally recurrent neural networks
  Chaos, Solitons, and Fractals, 2001
• Performance analysis of locally recurrent neural networks
  COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 1998
• Communication Systems via Chaotic Signals from a Reconstruction Viewpoint
  International Journal of Bifurcation and Chaos, 1997
• Learning a simple recurrent neural state space model to behave like Chua's double scroll
  IEEE Transactions on Circuits and Systems I: Regular Papers, 1995
• On global identifiability for arbitrary model parametrizations
  Automatica, 1994
• A Simplified Gradient Algorithm for IIR Synapse Multilayer Perceptrons
  Neural Computation, 1993
• FIR and IIR Synapses, a New Neural Network Architecture for Time Series Modeling
  Neural Computation, 1991
• Temporal backpropagation for FIR neural networks
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,1990
• Backpropagation through time: what it does and how to do it
  Proceedings of the IEEE, 1990
• Generalization of back-propagation to recurrent neural networks
  Physical Review Letters, 1987