Absolute stability conditions for discrete-time recurrent neural networks

  title={Absolute stability conditions for discrete-time recurrent neural networks},
  author={Liang Jin and Peter N. Nikiforuk and Madan M. Gupta},
  journal={IEEE transactions on neural networks},
  volume={5 6},
An analysis of the absolute stability for a general class of discrete-time recurrent neural networks (RNN's) is presented. A discrete-time model of RNN's is represented by a set of nonlinear difference equations. Some sufficient conditions for the absolute stability are derived using Ostrowski's theorem and the similarity transformation approach. For a given RNN model, these conditions are determined by the synaptic weight matrix of the network. The results reported in this paper need fewer… CONTINUE READING


Publications citing this paper.
Showing 1-10 of 44 extracted citations

Similar Papers

Loading similar papers…